From a7b9bb19d1faa83b7ec515f6767e3fd9e2f08330 Mon Sep 17 00:00:00 2001 From: faizan Date: Thu, 18 May 2017 23:02:23 +0530 Subject: [PATCH 01/42] restore previous animint code before refactoring --- NAMESPACE | 1 - R/animint.R | 4 ---- R/geom_point_animint.R | 22 ---------------------- R/geoms.R | 8 ++++---- 4 files changed, 4 insertions(+), 31 deletions(-) delete mode 100644 R/geom_point_animint.R diff --git a/NAMESPACE b/NAMESPACE index 43fbaa2b4..9fcff89b2 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -3,7 +3,6 @@ export(animint2dir) export(animint2gist) export(animintOutput) -export(geom_point_animint) export(geom_tallrect) export(geom_widerect) export(getLegendList) diff --git a/R/animint.R b/R/animint.R index 683a6f914..c1dac8518 100644 --- a/R/animint.R +++ b/R/animint.R @@ -334,10 +334,6 @@ saveLayer <- function(l, d, meta){ sprintf("geom%d_%s_%s", meta$geom.count, g$geom, meta$plot.name) - ## Remove "animint" from geom names, eg: pointanimint -> point - g$classed <- gsub("animint", "", g$classed) - g$geom <- gsub("animint", "", g$geom) - ## For each geom, save the nextgeom to preserve drawing order. if(is.character(meta$prev.class)){ meta$geoms[[meta$prev.class]]$nextgeom <- g$classed diff --git a/R/geom_point_animint.R b/R/geom_point_animint.R deleted file mode 100644 index 773b0c3da..000000000 --- a/R/geom_point_animint.R +++ /dev/null @@ -1,22 +0,0 @@ -GeomPointAnimint <- ggplot2::ggproto("GeomPointAnimint", GeomPoint, - default_aes = aes( - shape = 19, - colour = "black", - size = 1.5, - fill = NA, - alpha = NA, - stroke = 0.5, - chunk_vars = NA, - clickSelects = NA, - showSelected = NA - ) -) - -#' @export -geom_point_animint <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", - ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE){ - - ggplot2::layer(data = data, mapping = mapping, stat = stat, geom = GeomPointAnimint, - position = position, show.legend = show.legend, inherit.aes = inherit.aes, - params = list(na.rm = na.rm, ...)) -} diff --git a/R/geoms.R b/R/geoms.R index 266707a30..46aa1ee00 100644 --- a/R/geoms.R +++ b/R/geoms.R @@ -29,7 +29,7 @@ geom_tallrect <- function(mapping = NULL, data = NULL, } GeomTallRect <- ggplot2::ggproto("GeomTallRect", ggplot2::Geom, - default_aes = aes(colour = "grey35", + default_aes = ggplot2::aes(colour = "grey35", fill = "grey35", size = 0.5, linetype = 1, @@ -59,7 +59,7 @@ GeomTallRect <- ggplot2::ggproto("GeomTallRect", ggplot2::Geom, ) }, - draw_key = draw_key_rect + draw_key = ggplot2::draw_key_rect ) @@ -97,7 +97,7 @@ geom_widerect <- function(mapping = NULL, data = NULL, } GeomWideRect <- ggplot2::ggproto("GeomWideRect", ggplot2::Geom, - default_aes = aes(colour = "grey35", + default_aes = ggplot2::aes(colour = "grey35", fill = "grey35", size = 0.5, linetype = 1, @@ -127,7 +127,7 @@ GeomWideRect <- ggplot2::ggproto("GeomWideRect", ggplot2::Geom, ) }, - draw_key = draw_key_rect + draw_key = ggplot2::draw_key_rect ) #' Make a clickSelects geom_tallrect that completely tiles the x From ce209c5a9971067b8fd658731800c59917b83ac1 Mon Sep 17 00:00:00 2001 From: faizan Date: Thu, 18 May 2017 23:04:33 +0530 Subject: [PATCH 02/42] separate general functions in a different file --- R/animint.R | 25 ------------------------- R/helperFunctions.R | 26 ++++++++++++++++++++++++++ 2 files changed, 26 insertions(+), 25 deletions(-) create mode 100644 R/helperFunctions.R diff --git a/R/animint.R b/R/animint.R index c1dac8518..2a92abe7a 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1907,31 +1907,6 @@ servr::httd("', normalizePath( out.dir,winslash="/" ), '")') } -#' Check if character is an RGB hexadecimal color value -#' @param x character -#' @return True/False value -#' @export -is.rgb <- function(x){ - if(is.null(x)) { - TRUE - } else { - (grepl("#", x) & nchar(x)==7) - } -} - -#' Convert R colors to RGB hexadecimal color values -#' @param x character -#' @return hexadecimal color value or "transparent" if is.na -#' @export -toRGB <- function(x){ - is.transparent <- is.na(x) | x=="transparent" - rgb.mat <- col2rgb(x) - rgb.vec <- rgb(t(rgb.mat), maxColorValue=255) - named.vec <- ifelse(is.transparent, "transparent", rgb.vec) - not.named <- as.character(named.vec) - not.named -} - #' Function to get legend information from ggplot #' @param plistextra output from ggplot2::ggplot_build(p) #' @return list containing information for each legend diff --git a/R/helperFunctions.R b/R/helperFunctions.R new file mode 100644 index 000000000..90205d8f0 --- /dev/null +++ b/R/helperFunctions.R @@ -0,0 +1,26 @@ +## General helper functions + +#' Check if character is an RGB hexadecimal color value +#' @param x character +#' @return True/False value +#' @export +is.rgb <- function(x){ + if(is.null(x)) { + TRUE + } else { + (grepl("#", x) & nchar(x)==7) + } +} + +#' Convert R colors to RGB hexadecimal color values +#' @param x character +#' @return hexadecimal color value or "transparent" if is.na +#' @export +toRGB <- function(x){ + is.transparent <- is.na(x) | x=="transparent" + rgb.mat <- col2rgb(x) + rgb.vec <- rgb(t(rgb.mat), maxColorValue=255) + named.vec <- ifelse(is.transparent, "transparent", rgb.vec) + not.named <- as.character(named.vec) + not.named +} From 49c7c78144d5da7a683d55677bcd2d9f53fa3ae0 Mon Sep 17 00:00:00 2001 From: faizan Date: Thu, 18 May 2017 23:17:18 +0530 Subject: [PATCH 03/42] separate creating a new environment to a specific animint helper file --- R/animint.R | 6 +----- R/animintHelpers.R | 16 ++++++++++++++++ man/is.rgb.Rd | 2 +- man/newEnvironment.Rd | 15 +++++++++++++++ man/toRGB.Rd | 2 +- 5 files changed, 34 insertions(+), 7 deletions(-) create mode 100644 R/animintHelpers.R create mode 100644 man/newEnvironment.Rd diff --git a/R/animint.R b/R/animint.R index 2a92abe7a..cc9613ff5 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1327,14 +1327,10 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Store meta-data in this environment, so we can alter state in the ## lower-level functions. - meta <- new.env() - meta$plots <- list() - meta$geoms <- list() - meta$selectors <- list() + meta <- newEnvironment() meta$selector.types <- plot.list$selector.types dir.create(out.dir,showWarnings=FALSE) meta$out.dir <- out.dir - meta$geom.count <- 1 ## Save the animation variable so we can treat it specially when we ## process each geom. diff --git a/R/animintHelpers.R b/R/animintHelpers.R new file mode 100644 index 000000000..45412ca41 --- /dev/null +++ b/R/animintHelpers.R @@ -0,0 +1,16 @@ +## Animint specific helper functions + +#' Environment to store meta data +#' +#' Get a new environment to store meta-data. Used to alter state in the +#' lower-level functions +#' @return A new environment to store meta data +newEnvironment <- function(){ + meta <- new.env() + meta$plots <- list() + meta$geoms <- list() + meta$selectors <- list() + meta$geom.count <- 1 + + return(meta) +} diff --git a/man/is.rgb.Rd b/man/is.rgb.Rd index 4ecdce8a5..f532965c4 100644 --- a/man/is.rgb.Rd +++ b/man/is.rgb.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/helperFunctions.R \name{is.rgb} \alias{is.rgb} \title{Check if character is an RGB hexadecimal color value} diff --git a/man/newEnvironment.Rd b/man/newEnvironment.Rd new file mode 100644 index 000000000..6a2bcb9d3 --- /dev/null +++ b/man/newEnvironment.Rd @@ -0,0 +1,15 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{newEnvironment} +\alias{newEnvironment} +\title{Environment to store meta data} +\usage{ +newEnvironment() +} +\value{ +A new environment to store meta data +} +\description{ +Get a new environment to store meta-data. Used to alter state in the +lower-level functions +} diff --git a/man/toRGB.Rd b/man/toRGB.Rd index 9fd24d84d..fa0aea4c8 100644 --- a/man/toRGB.Rd +++ b/man/toRGB.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/helperFunctions.R \name{toRGB} \alias{toRGB} \title{Convert R colors to RGB hexadecimal color values} From 0f09a7ce70d236c9bd0f6d352f4411239a912721 Mon Sep 17 00:00:00 2001 From: faizan Date: Thu, 18 May 2017 23:49:25 +0530 Subject: [PATCH 04/42] move checking for errors in plot.list and plot.list to aniimint specific helpers --- R/animint.R | 23 +++++---------------- R/animintHelpers.R | 40 ++++++++++++++++++++++++++++++++++++ man/checkAnimationTimeVar.Rd | 18 ++++++++++++++++ man/checkPlotList.Rd | 17 +++++++++++++++ 4 files changed, 80 insertions(+), 18 deletions(-) create mode 100644 man/checkAnimationTimeVar.Rd create mode 100644 man/checkPlotList.Rd diff --git a/R/animint.R b/R/animint.R index cc9613ff5..807a2b06a 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1317,14 +1317,9 @@ gg2animint <- function(...){ animint2dir <- function(plot.list, out.dir = tempfile(), json.file = "plot.json", open.browser = interactive(), css.file = "") { - ## Check that plot.list is a list and every element is named. - if (!is.list(plot.list)) - stop("plot.list must be a list of ggplots") - if (is.null(names(plot.list))) - stop("plot.list must be a named list") - if (any(names(plot.list)=="")) - stop("plot.list must have names with non-empty strings") - + ## Check plot.list for errors + checkPlotList(plot.list) + ## Store meta-data in this environment, so we can alter state in the ## lower-level functions. meta <- newEnvironment() @@ -1336,19 +1331,11 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## process each geom. # CPS (7-22-14): What if the user doesn't specify milliseconds? Could we provide a reasonable default? if(is.list(plot.list[["time"]])){ - if(!all(c("ms", "variable") %in% names(plot.list$time))){ - stop("time option list needs ms, variable") - } + # Check animation variable for errors + checkAnimationTimeVar(plot.list$time) meta$time <- plot.list$time ms <- meta$time$ms - stopifnot(is.numeric(ms)) - stopifnot(length(ms)==1) - ## NOTE: although we do not use olist$ms for anything in the R - ## code, it is used to control the number of milliseconds between - ## animation frames in the JS code. time.var <- meta$time$variable - stopifnot(is.character(time.var)) - stopifnot(length(time.var)==1) } ## The title option should just be a character, not a list. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 45412ca41..6da1ece5f 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -1,5 +1,21 @@ ## Animint specific helper functions +#' Check plot.list for errors +#' +#' Check that plot.list is a list and every element is named +#' @param plot.list from \code{animint2dir} to check for errors +#' @return Throws an error for invalid values +checkPlotList <- function(plot.list){ + if (!is.list(plot.list)) + stop("plot.list must be a list of ggplots") + if (is.null(names(plot.list))) + stop("plot.list must be a named list") + if (any(names(plot.list)=="")) + stop("plot.list must have names with non-empty strings") + return(NULL) +} + + #' Environment to store meta data #' #' Get a new environment to store meta-data. Used to alter state in the @@ -14,3 +30,27 @@ newEnvironment <- function(){ return(meta) } + + +#' Check animation variable for errors +#' +#' @param timeVarList \code{plot.list$time} in \code{animint2dir} to check +#' for errors +#' @return \code{NULL} :Stops with an error for invalid input +checkAnimationTimeVar <- function(timeVarList){ + # Check if both ms duration and variable are present + if(!all(c("ms", "variable") %in% names(timeVarList))){ + stop("time option list needs ms, variable") + } + + ms <- timeVarList$ms + stopifnot(is.numeric(ms)) + stopifnot(length(ms)==1) + ## NOTE: although we do not use plot.list$ms for anything in the R + ## code, it is used to control the number of milliseconds between + ## animation frames in the JS code. + timeVar <- timeVarList$variable + stopifnot(is.character(timeVar)) + stopifnot(length(timeVar)==1) + return(NULL) +} diff --git a/man/checkAnimationTimeVar.Rd b/man/checkAnimationTimeVar.Rd new file mode 100644 index 000000000..ac0c7f3c3 --- /dev/null +++ b/man/checkAnimationTimeVar.Rd @@ -0,0 +1,18 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{checkAnimationTimeVar} +\alias{checkAnimationTimeVar} +\title{Check animation variable for errors} +\usage{ +checkAnimationTimeVar(timeVarList) +} +\arguments{ +\item{timeVarList}{\code{plot.list$time} in \code{animint2dir} to check +for errors} +} +\value{ +\code{NULL} :Stops with an error for invalid input +} +\description{ +Check animation variable for errors +} diff --git a/man/checkPlotList.Rd b/man/checkPlotList.Rd new file mode 100644 index 000000000..9fb1ac4f1 --- /dev/null +++ b/man/checkPlotList.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{checkPlotList} +\alias{checkPlotList} +\title{Check plot.list for errors} +\usage{ +checkPlotList(plot.list) +} +\arguments{ +\item{plot.list}{from \code{animint2dir} to check for errors} +} +\value{ +Throws an error for invalid values +} +\description{ +Check that plot.list is a list and every element is named +} From 2ef7e056edf6623b59433787d3913c7eb79accbd Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 19:06:04 +0530 Subject: [PATCH 05/42] move merge_recurse to animintHelpers.R --- R/animint.R | 15 --------------- R/animintHelpers.R | 16 ++++++++++++++++ 2 files changed, 16 insertions(+), 15 deletions(-) diff --git a/R/animint.R b/R/animint.R index 807a2b06a..36fbff533 100644 --- a/R/animint.R +++ b/R/animint.R @@ -2116,18 +2116,3 @@ getLegend <- function(mb){ entries = data) } } - -#' Merge a list of data frames. -#' @param dfs list of data frames -#' @return data frame -merge_recurse <- function(dfs){ - label.vec <- unique(unlist(lapply(dfs, function(df)paste(df$label)))) - result <- data.frame(row.names=label.vec) - for(df in dfs){ - df.label <- paste(df$label) - for(col.name in names(df)){ - result[df.label, col.name] <- df[[col.name]] - } - } - result -} diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 6da1ece5f..18f98f2fb 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -54,3 +54,19 @@ checkAnimationTimeVar <- function(timeVarList){ stopifnot(length(timeVar)==1) return(NULL) } + + +#' Merge a list of data frames. +#' @param dfs list of data frames +#' @return data frame +merge_recurse <- function(dfs){ + label.vec <- unique(unlist(lapply(dfs, function(df)paste(df$label)))) + result <- data.frame(row.names=label.vec) + for(df in dfs){ + df.label <- paste(df$label) + for(col.name in names(df)){ + result[df.label, col.name] <- df[[col.name]] + } + } + result +} From 782582a3405f5946d08df532a482bcdb216c6105 Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 19:28:14 +0530 Subject: [PATCH 06/42] move plot checks before calling ggplot_build to animintHelpers.R --- R/animint.R | 42 ++-------------------- R/animintHelpers.R | 52 ++++++++++++++++++++++++++++ man/checkPlotForAnimintExtensions.Rd | 20 +++++++++++ man/merge_recurse.Rd | 2 +- 4 files changed, 76 insertions(+), 40 deletions(-) create mode 100644 man/checkPlotForAnimintExtensions.Rd diff --git a/R/animint.R b/R/animint.R index 36fbff533..9aac6a57a 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1352,47 +1352,11 @@ animint2dir <- function(plot.list, out.dir = tempfile(), for(list.name in names(plot.list)){ p <- plot.list[[list.name]] if(is.ggplot(p)){ - pattern <- "^[a-zA-Z][a-zA-Z0-9]*$" - if(!grepl(pattern, list.name)){ - stop("ggplot names must match ", pattern) - } ## Before calling ggplot_build, we do some error checking for ## some animint extensions. - for(L in p$layers){ - ## This code assumes that the layer has the complete aesthetic - ## mapping and data. TODO: Do we need to copy any global - ## values to this layer? - name.counts <- table(names(L$mapping)) - is.dup <- 1 < name.counts - if(any(is.dup)){ - print(L) - stop("aes names must be unique, problems: ", - paste(names(name.counts)[is.dup], collapse=", ")) - } - iaes <- selector.aes(L$mapping) - one.names <- with(iaes, c(clickSelects$one, showSelected$one)) - update.vars <- as.character(L$mapping[one.names]) - # if the layer has a defined data set - if(length(L$data) > 0) { - # check whether the variable is in that layer - has.var <- update.vars %in% names(L$data) - } else { - # check whether the variable is in the global data - has.var <- update.vars %in% names(p$data) - } - - if(!all(has.var)){ - print(L) - print(list(problem.aes=update.vars[!has.var], - data.variables=names(L$data))) - stop("data does not have interactive variables") - } - has.cs <- 0 < with(iaes$clickSelects, nrow(several) + length(one)) - has.href <- "href" %in% names(L$mapping) - if(has.cs && has.href){ - stop("aes(clickSelects) can not be used with aes(href)") - } - } + checkPlotForAnimintExtensions(p, list.name) + + ## If plot is correct, save to meta for further processing meta$plot <- p meta$plot.name <- list.name ggplot.list[[list.name]] <- parsePlot(meta) # calls ggplot_build. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 18f98f2fb..87fb34f0a 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -55,6 +55,58 @@ checkAnimationTimeVar <- function(timeVarList){ return(NULL) } +#' Performs error checking on the plot for animint extensions +#' +#' @param p plot from \code{plot.list} to check for errors +#' @param plot_name plot name error check. Should be alphanumeric and should +#' begin with an alphabet +#' @return \code{NULL} :Stops with an error for invalid input +checkPlotForAnimintExtensions <- function(p, plot_name){ + # Check if plot is properly named + pattern <- "^[a-zA-Z][a-zA-Z0-9]*$" + if(!grepl(pattern, plot_name)){ + stop("ggplot names must match ", pattern) + } + + # Check layer by layer for proper extensions + for(L in p$layers){ + ## This code assumes that the layer has the complete aesthetic + ## mapping and data. TODO: Do we need to copy any global + ## values to this layer? + name.counts <- table(names(L$mapping)) + is.dup <- 1 < name.counts + if(any(is.dup)){ + print(L) + stop("aes names must be unique, problems: ", + paste(names(name.counts)[is.dup], collapse=", ")) + } + iaes <- selector.aes(L$mapping) + one.names <- with(iaes, c(clickSelects$one, showSelected$one)) + update.vars <- as.character(L$mapping[one.names]) + # if the layer has a defined data set + if(length(L$data) > 0) { + # check whether the variable is in that layer + has.var <- update.vars %in% names(L$data) + } else { + # check whether the variable is in the global data + has.var <- update.vars %in% names(p$data) + } + + if(!all(has.var)){ + print(L) + print(list(problem.aes=update.vars[!has.var], + data.variables=names(L$data))) + stop("data does not have interactive variables") + } + has.cs <- 0 < with(iaes$clickSelects, nrow(several) + length(one)) + has.href <- "href" %in% names(L$mapping) + if(has.cs && has.href){ + stop("aes(clickSelects) can not be used with aes(href)") + } + } + return(NULL) +} + #' Merge a list of data frames. #' @param dfs list of data frames diff --git a/man/checkPlotForAnimintExtensions.Rd b/man/checkPlotForAnimintExtensions.Rd new file mode 100644 index 000000000..11707e844 --- /dev/null +++ b/man/checkPlotForAnimintExtensions.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{checkPlotForAnimintExtensions} +\alias{checkPlotForAnimintExtensions} +\title{Performs error checking on the plot for animint extensions} +\usage{ +checkPlotForAnimintExtensions(p, plot_name) +} +\arguments{ +\item{p}{plot from \code{plot.list} to check for errors} + +\item{plot_name}{plot name error check. Should be alphanumeric and should +begin with an alphabet} +} +\value{ +\code{NULL} :Stops with an error for invalid input +} +\description{ +Performs error checking on the plot for animint extensions +} diff --git a/man/merge_recurse.Rd b/man/merge_recurse.Rd index 911b2bd5a..3b30876dd 100644 --- a/man/merge_recurse.Rd +++ b/man/merge_recurse.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{merge_recurse} \alias{merge_recurse} \title{Merge a list of data frames.} From fa4a8fe498f8cf5fa10beb732f0d701f6db26728 Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 19:49:49 +0530 Subject: [PATCH 07/42] move selector warnings to animint specific helpers --- R/animint.R | 16 +--------------- R/animintHelpers.R | 25 +++++++++++++++++++++++++ man/issueSelectorWarnings.Rd | 21 +++++++++++++++++++++ 3 files changed, 47 insertions(+), 15 deletions(-) create mode 100644 man/issueSelectorWarnings.Rd diff --git a/R/animint.R b/R/animint.R index 9aac6a57a..18030b44b 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1457,21 +1457,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Now that selectors are all defined, go back through geoms to ## check if there are any warnings to issue. - for(g.name in names(meta$geoms)){ - g.info <- meta$geoms[[g.name]] - g.selectors <- meta$selector.aes[[g.name]] - show.vars <- g.info$aes[g.selectors$showSelected$one] - duration.vars <- names(meta$duration) - show.with.duration <- show.vars[show.vars %in% duration.vars] - no.key <- ! "key" %in% names(g.info$aes) - if(length(show.with.duration) && no.key){ - warning( - "to ensure that smooth transitions are interpretable, ", - "aes(key) should be specifed for geoms with aes(showSelected=", - show.with.duration[1], - "), problem: ", g.name) - } - } + issueSelectorWarnings(meta$geoms, meta$selector.aes, meta$duration) ## For a static data viz with no interactive aes, no need to check ## for trivial showSelected variables with only 1 level. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 87fb34f0a..28cd581ac 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -108,6 +108,31 @@ checkPlotForAnimintExtensions <- function(p, plot_name){ } +#' Issue warnings for selectors +#' @param geoms \code{geoms} to check for warnings +#' @param selector.aes selectors for each geom +#' @param duration animation variable information to check for \code{key} value +#' @return \code{NULL} +issueSelectorWarnings <- function(geoms, selector.aes, duration){ + for(g.name in names(geoms)){ + g.info <- geoms[[g.name]] + g.selectors <- selector.aes[[g.name]] + show.vars <- g.info$aes[g.selectors$showSelected$one] + duration.vars <- names(duration) + show.with.duration <- show.vars[show.vars %in% duration.vars] + no.key <- ! "key" %in% names(g.info$aes) + if(length(show.with.duration) && no.key){ + warning( + "to ensure that smooth transitions are interpretable, ", + "aes(key) should be specifed for geoms with aes(showSelected=", + show.with.duration[1], + "), problem: ", g.name) + } + } + return(NULL) +} + + #' Merge a list of data frames. #' @param dfs list of data frames #' @return data frame diff --git a/man/issueSelectorWarnings.Rd b/man/issueSelectorWarnings.Rd new file mode 100644 index 000000000..993ec368e --- /dev/null +++ b/man/issueSelectorWarnings.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{issueSelectorWarnings} +\alias{issueSelectorWarnings} +\title{Issue warnings for selectors} +\usage{ +issueSelectorWarnings(geoms, selector.aes, duration) +} +\arguments{ +\item{geoms}{\code{geoms} to check for warnings} + +\item{selector.aes}{selectors for each geom} + +\item{duration}{animation variable information to check for \code{key} value} +} +\value{ +\code{NULL} +} +\description{ +Issue warnings for selectors +} From 0ad94742d21b2214a8d31f5b69736878d048eda2 Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 19:58:32 +0530 Subject: [PATCH 08/42] move showSelected warning to animint specific helpers --- R/animint.R | 15 +-------------- R/animintHelpers.R | 23 +++++++++++++++++++++++ man/checkSingleShowSelectedValue.Rd | 19 +++++++++++++++++++ 3 files changed, 43 insertions(+), 14 deletions(-) create mode 100644 man/checkSingleShowSelectedValue.Rd diff --git a/R/animint.R b/R/animint.R index 18030b44b..134f7732e 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1461,20 +1461,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## For a static data viz with no interactive aes, no need to check ## for trivial showSelected variables with only 1 level. - if(0 < length(meta$selectors)){ - n.levels <- sapply(meta$selectors, function(s.info)length(s.info$levels)) - one.level <- n.levels == 1 - has.legend <- sapply(meta$selectors, function(s.info)isTRUE(s.info$legend)) - is.trivial <- one.level & (!has.legend) - if(any(is.trivial)){ - ## With the current compiler that has already saved the tsv files - ## by now, we can't really make this data viz more efficient by - ## ignoring this trivial selector. However we can warn the user so - ## that they can remove this inefficient showSelected. - warning("showSelected variables with only 1 level: ", - paste(names(meta$selectors)[is.trivial], collapse=", ")) - } - } + checkSingleShowSelectedValue(meta$selectors) ## Go through options and add to the list. for(v.name in names(meta$duration)){ diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 28cd581ac..c2743a679 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -133,6 +133,29 @@ issueSelectorWarnings <- function(geoms, selector.aes, duration){ } +#' Issue warnings for non interactive plots where there is only one +#' showSelected value +#' @param selectors selectors to check for warnings +#' @return \code{NULL} +checkSingleShowSelectedValue <- function(selectors){ + if(length(selectors) > 0){ + n.levels <- sapply(selectors, function(s.info)length(s.info$levels)) + one.level <- n.levels == 1 + has.legend <- sapply(selectors, function(s.info)isTRUE(s.info$legend)) + is.trivial <- one.level & (!has.legend) + if(any(is.trivial)){ + ## With the current compiler that has already saved the tsv files + ## by now, we can't really make this data viz more efficient by + ## ignoring this trivial selector. However we can warn the user so + ## that they can remove this inefficient showSelected. + warning("showSelected variables with only 1 level: ", + paste(names(selectors)[is.trivial], collapse=", ")) + } + } + return(NULL) +} + + #' Merge a list of data frames. #' @param dfs list of data frames #' @return data frame diff --git a/man/checkSingleShowSelectedValue.Rd b/man/checkSingleShowSelectedValue.Rd new file mode 100644 index 000000000..21daa73ab --- /dev/null +++ b/man/checkSingleShowSelectedValue.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{checkSingleShowSelectedValue} +\alias{checkSingleShowSelectedValue} +\title{Issue warnings for non interactive plots where there is only one +showSelected value} +\usage{ +checkSingleShowSelectedValue(selectors) +} +\arguments{ +\item{selectors}{selectors to check for warnings} +} +\value{ +\code{NULL} +} +\description{ +Issue warnings for non interactive plots where there is only one +showSelected value +} From be0c9d42769bf5a5acad6e87f941467c9b358faf Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 20:09:01 +0530 Subject: [PATCH 09/42] set plot sizes in animint helpers --- R/animint.R | 25 ++----------------------- R/animintHelpers.R | 32 ++++++++++++++++++++++++++++++++ man/setPlotSizes.Rd | 17 +++++++++++++++++ 3 files changed, 51 insertions(+), 23 deletions(-) create mode 100644 man/setPlotSizes.Rd diff --git a/R/animint.R b/R/animint.R index 134f7732e..81ab72829 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1468,29 +1468,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), meta$selectors[[v.name]]$duration <- meta$duration[[v.name]] } ## Set plot sizes. - for(d in c("width","height")){ - size <- meta[[d]] - if(is.list(size)){ - warning("option ", d, " is deprecated, ", - "use ggplot()+theme_animint(", d, - "=", size[[1]], - ") instead") - if(is.null(names(size))){ #use this size for all plots. - for(plot.name in names(meta$plots)){ - meta$plots[[plot.name]]$options[[d]] <- size[[1]] - } - }else{ #use the size specified for the named plot. - for(plot.name in names(size)){ - if(plot.name %in% names(meta$plots)){ - meta$plots[[plot.name]]$options[[d]] <- size[[plot.name]] - }else{ - stop("no ggplot named ", plot.name) - } - } - } - } - } - + setPlotSizes(meta) + ## These geoms need to be updated when the time.var is animated, so ## let's make a list of all possible values to cycle through, from ## all the values used in those geoms. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index c2743a679..27fefac15 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -156,6 +156,38 @@ checkSingleShowSelectedValue <- function(selectors){ } +#' Set plot width and height for all plots +#' @param meta meta object with all information +#' @return \code{NULL}. Sizes are stored in meta object +setPlotSizes <- function(meta){ + # Set both width and height + for(d in c("width","height")){ + size <- meta[[d]] + if(is.list(size)){ + warning("option ", d, " is deprecated, ", + "use ggplot()+theme_animint(", d, + "=", size[[1]], + ") instead") + if(is.null(names(size))){ #use this size for all plots. + for(plot.name in names(meta$plots)){ + meta$plots[[plot.name]]$options[[d]] <- size[[1]] + } + }else{ #use the size specified for the named plot. + for(plot.name in names(size)){ + if(plot.name %in% names(meta$plots)){ + meta$plots[[plot.name]]$options[[d]] <- size[[plot.name]] + }else{ + stop("no ggplot named ", plot.name) + } + } + } + } + } + return(NULL) +} + + + #' Merge a list of data frames. #' @param dfs list of data frames #' @return data frame diff --git a/man/setPlotSizes.Rd b/man/setPlotSizes.Rd new file mode 100644 index 000000000..4ae285ee0 --- /dev/null +++ b/man/setPlotSizes.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{setPlotSizes} +\alias{setPlotSizes} +\title{Set plot width and height for all plots} +\usage{ +setPlotSizes(meta) +} +\arguments{ +\item{meta}{meta object with all information} +} +\value{ +\code{NULL}. Sizes are stored in meta object +} +\description{ +Set plot width and height for all plots +} From 941f34594edcc55edac968ccc3d659462a0beff9 Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 20:22:58 +0530 Subject: [PATCH 10/42] move pt.to.lines() to general helpers --- R/animint.R | 6 ------ R/helperFunctions.R | 14 ++++++++++++++ man/pt.to.lines.Rd | 20 ++++++++++++++++++++ 3 files changed, 34 insertions(+), 6 deletions(-) create mode 100644 man/pt.to.lines.Rd diff --git a/R/animint.R b/R/animint.R index 81ab72829..15efad5a2 100644 --- a/R/animint.R +++ b/R/animint.R @@ -32,12 +32,6 @@ parsePlot <- function(meta){ ## (ignoring whatever grid::unit such as cm that was specified). ## Now ggplot specifies panel.margin in 'pt' instead of 'lines' - pt.to.lines <- function(margin.value){ - if(attributes(margin.value)$unit == "pt"){ - margin.value <- round(as.numeric(margin.value) * (0.25/5.5), digits = 2) - } - as.numeric(margin.value) - } plot.meta$panel_margin_lines <- pt.to.lines(theme.pars$panel.margin) ## No legend if theme(legend.postion="none"). diff --git a/R/helperFunctions.R b/R/helperFunctions.R index 90205d8f0..4105e9d40 100644 --- a/R/helperFunctions.R +++ b/R/helperFunctions.R @@ -1,5 +1,19 @@ ## General helper functions + +#' Convert \code{pt} value to \code{lines} +#' +#' @param pt_value Value in \code{pt} to be converted to \code{lines} +#' @return Value in \code{lines} +#' @note Does NOT work if input is not in \code{pt}. Input is returned as is. +pt.to.lines <- function(pt_value){ + if(attributes(pt_value)$unit == "pt"){ + pt_value <- round(as.numeric(pt_value) * (0.25/5.5), digits = 2) + } + as.numeric(pt_value) +} + + #' Check if character is an RGB hexadecimal color value #' @param x character #' @return True/False value diff --git a/man/pt.to.lines.Rd b/man/pt.to.lines.Rd new file mode 100644 index 000000000..1af8c2bb0 --- /dev/null +++ b/man/pt.to.lines.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/helperFunctions.R +\name{pt.to.lines} +\alias{pt.to.lines} +\title{Convert \code{pt} value to \code{lines}} +\usage{ +pt.to.lines(pt_value) +} +\arguments{ +\item{pt_value}{Value in \code{pt} to be converted to \code{lines}} +} +\value{ +Value in \code{lines} +} +\description{ +Convert \code{pt} value to \code{lines} +} +\note{ +Does NOT work if input is not in \code{pt}. Input is returned as is. +} From e2f39234d38a71a0e3740537b4c7402b39d1129c Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 22:50:47 +0530 Subject: [PATCH 11/42] adding showSelected for Legend moved to animint specific functions --- R/animint.R | 51 +--------------------------- R/animintHelpers.R | 60 +++++++++++++++++++++++++++++++++ man/addShowSelectedForLegend.Rd | 21 ++++++++++++ 3 files changed, 82 insertions(+), 50 deletions(-) create mode 100644 man/addShowSelectedForLegend.Rd diff --git a/R/animint.R b/R/animint.R index 15efad5a2..73e72888d 100644 --- a/R/animint.R +++ b/R/animint.R @@ -45,56 +45,7 @@ parsePlot <- function(meta){ ## This is the layer from the original ggplot object. L <- meta$plot$layers[[layer.i]] ## If any legends are specified, add showSelected aesthetic - for(legend.i in seq_along(plot.meta$legend)) { - one.legend <- plot.meta$legend[[legend.i]] - ## the name of the selection variable used in this legend. - s.name <- one.legend$selector - is.variable.name <- is.character(s.name) && length(s.name) == 1 - layer.has.variable <- s.name %in% names(L$data) - - if(is.variable.name && layer.has.variable) { - ## grabbing the variable from the data - var <- L$data[, s.name] - is.interactive.aes <- - grepl("showSelected|clickSelects", names(L$mapping)) - is.legend.var <- L$mapping == s.name - ## If s.name is used with another interactive aes, then do - ## not add any showSelected aesthetic for it. - var.is.interactive <- any(is.interactive.aes & is.legend.var) - if(!var.is.interactive){ - ## only add showSelected aesthetic if the variable is - ## used by the geom - type.vec <- one.legend$legend_type - if(any(type.vec %in% names(L$mapping))){ - type.str <- paste(type.vec, collapse="") - a.name <- paste0("showSelectedlegend", type.str) - L$mapping[[a.name]] <- as.symbol(s.name) - } - } - ## if selector.types has not been specified, create it - if(is.null(meta$selector.types)) { - meta$selector.types <- list() - } - ## if selector.types is not specified for this variable, set - ## it to multiple. - if(is.null(meta$selector.types[[s.name]])) { - meta$selector.types[[s.name]] <- "multiple" - meta$selectors[[s.name]]$type <- "multiple" - } - ## if first is not specified, create it - if(is.null(meta$first)) { - meta$first <- list() - } - ## if first is not specified, add all to first - if(is.null(meta$first[[s.name]])) { - u.vals <- unique(var) - } - ## Tell this selector that it has a legend somewhere in the - ## viz. (if the selector has no interactive legend and no - ## clickSelects, then we show the widgets by default). - meta$selectors[[s.name]]$legend <- TRUE - }#length(s.name) - }#legend.i + L <- addShowSelectedForLegend(meta, plot.meta$legend, L) }#layer.i ## need to call ggplot_build again because we've added to the plot. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 27fefac15..e4433de7d 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -1,5 +1,65 @@ ## Animint specific helper functions +#' Add a showSelected aesthetic if legend is specified +#' @param meta meta object with all information +#' @param legend legend to scan for showSelected +#' @param L layer of the plot +#' @return L : Layer with additional mapping to new aesthetic +addShowSelectedForLegend <- function(meta, legend, L){ + for(legend.i in seq_along(legend)) { + one.legend <- legend[[legend.i]] + ## the name of the selection variable used in this legend. + s.name <- one.legend$selector + is.variable.name <- is.character(s.name) && length(s.name) == 1 + layer.has.variable <- s.name %in% names(L$data) + + if(is.variable.name && layer.has.variable) { + ## grabbing the variable from the data + var <- L$data[, s.name] + is.interactive.aes <- + grepl("showSelected|clickSelects", names(L$mapping)) + is.legend.var <- L$mapping == s.name + ## If s.name is used with another interactive aes, then do + ## not add any showSelected aesthetic for it. + var.is.interactive <- any(is.interactive.aes & is.legend.var) + if(!var.is.interactive){ + ## only add showSelected aesthetic if the variable is + ## used by the geom + type.vec <- one.legend$legend_type + if(any(type.vec %in% names(L$mapping))){ + type.str <- paste(type.vec, collapse="") + a.name <- paste0("showSelectedlegend", type.str) + L$mapping[[a.name]] <- as.symbol(s.name) + } + } + ## if selector.types has not been specified, create it + if(is.null(meta$selector.types)) { + meta$selector.types <- list() + } + ## if selector.types is not specified for this variable, set + ## it to multiple. + if(is.null(meta$selector.types[[s.name]])) { + meta$selector.types[[s.name]] <- "multiple" + meta$selectors[[s.name]]$type <- "multiple" + } + ## if first is not specified, create it + if(is.null(meta$first)) { + meta$first <- list() + } + ## if first is not specified, add all to first + if(is.null(meta$first[[s.name]])) { + u.vals <- unique(var) + } + ## Tell this selector that it has a legend somewhere in the + ## viz. (if the selector has no interactive legend and no + ## clickSelects, then we show the widgets by default). + meta$selectors[[s.name]]$legend <- TRUE + }#length(s.name) + }#legend.i + return(L) +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named diff --git a/man/addShowSelectedForLegend.Rd b/man/addShowSelectedForLegend.Rd new file mode 100644 index 000000000..555c3e24d --- /dev/null +++ b/man/addShowSelectedForLegend.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{addShowSelectedForLegend} +\alias{addShowSelectedForLegend} +\title{Add a showSelected aesthetic if legend is specified} +\usage{ +addShowSelectedForLegend(meta, legend, L) +} +\arguments{ +\item{meta}{meta object with all information} + +\item{legend}{legend to scan for showSelected} + +\item{L}{layer of the plot} +} +\value{ +L : Layer with additional mapping to new aesthetic +} +\description{ +Add a showSelected aesthetic if legend is specified +} From 8768af29c14a461af40991afcaebec29e99368b3 Mon Sep 17 00:00:00 2001 From: faizan Date: Fri, 19 May 2017 23:03:42 +0530 Subject: [PATCH 12/42] move functions for background and grid info to animint helpers --- R/animint.R | 60 ------------------------------------------- R/animintHelpers.R | 64 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 64 insertions(+), 60 deletions(-) diff --git a/R/animint.R b/R/animint.R index 73e72888d..ea0d0a712 100644 --- a/R/animint.R +++ b/R/animint.R @@ -65,70 +65,10 @@ parsePlot <- function(meta){ plot.meta$layout <- with(meta$built, train_layout( plot$facet, plot$coordinates, plot.meta$layout, panel$ranges)) - ## extract panel background and borders from theme.pars - get_bg <- function(pars) { - # if pars is not an empty list - occurs when using element_blank() - if(length(pars) > 0) { - - ## if elements are not specified, they inherit from theme.pars$rect - for(i in 1:length(pars)) { - if(is.null(pars[[i]])) pars[[i]] <- unname(theme.pars$rect[[i]]) - } - - # convert fill to RGB if necessary - if(!(is.rgb(pars$fill))) pars$fill <- unname(toRGB(pars$fill)) - # convert color to RGB if necessary - if(!(is.rgb(pars$colour))) pars$colour <- unname(toRGB(pars$colour)) - - # remove names (JSON file was getting confused) - pars <- lapply(pars, unname) - - } - pars - } # saving background info plot.meta$panel_background <- get_bg(theme.pars$panel.background) plot.meta$panel_border <- get_bg(theme.pars$panel.border) - ### function to extract grid info - get_grid <- function(pars, major = T) { - # if pars is not an empty list - occurs when using element_blank() - if(length(pars) > 0) { - - ## if elements are not specified, they inherit from - ## theme.pars$panel.grid then from theme.pars$line - for(i in names(pars)) { - if(is.null(pars[[i]])) pars[[i]] <- - if(!is.null(theme.pars$panel.grid[[i]])) { - theme.pars$panel.grid[[i]] - } else { - theme.pars$line[[i]] - } - } - # convert colour to RGB if necessary - if(!is.rgb(pars$colour)) pars$colour <- unname(toRGB(pars$colour)) - - # remove names (JSON file was getting confused) - pars <- lapply(pars, unname) - } - - ## x and y locations - if(major) { - pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.major_source) - pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.major_source) - } else { - pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.minor_source) - pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.minor_source) - ## remove minor lines when major lines are already drawn - pars$loc$x <- pars$loc$x[ - !(pars$loc$x %in% plot.meta$grid_major$loc$x) - ] - pars$loc$y <- pars$loc$y[ - !(pars$loc$y %in% plot.meta$grid_major$loc$y) - ] - } - pars - } # extract major grid lines plot.meta$grid_major <- get_grid(theme.pars$panel.grid.major) # extract minor grid lines diff --git a/R/animintHelpers.R b/R/animintHelpers.R index e4433de7d..4dfbb2586 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -60,6 +60,70 @@ addShowSelectedForLegend <- function(meta, legend, L){ } +## extract panel background and borders from theme.pars +get_bg <- function(pars) { + # if pars is not an empty list - occurs when using element_blank() + if(length(pars) > 0) { + + ## if elements are not specified, they inherit from theme.pars$rect + for(i in 1:length(pars)) { + if(is.null(pars[[i]])) pars[[i]] <- unname(theme.pars$rect[[i]]) + } + + # convert fill to RGB if necessary + if(!(is.rgb(pars$fill))) pars$fill <- unname(toRGB(pars$fill)) + # convert color to RGB if necessary + if(!(is.rgb(pars$colour))) pars$colour <- unname(toRGB(pars$colour)) + + # remove names (JSON file was getting confused) + pars <- lapply(pars, unname) + + } + pars +} + + +### function to extract grid info +get_grid <- function(pars, major = T) { + # if pars is not an empty list - occurs when using element_blank() + if(length(pars) > 0) { + + ## if elements are not specified, they inherit from + ## theme.pars$panel.grid then from theme.pars$line + for(i in names(pars)) { + if(is.null(pars[[i]])) pars[[i]] <- + if(!is.null(theme.pars$panel.grid[[i]])) { + theme.pars$panel.grid[[i]] + } else { + theme.pars$line[[i]] + } + } + # convert colour to RGB if necessary + if(!is.rgb(pars$colour)) pars$colour <- unname(toRGB(pars$colour)) + + # remove names (JSON file was getting confused) + pars <- lapply(pars, unname) + } + + ## x and y locations + if(major) { + pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.major_source) + pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.major_source) + } else { + pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.minor_source) + pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.minor_source) + ## remove minor lines when major lines are already drawn + pars$loc$x <- pars$loc$x[ + !(pars$loc$x %in% plot.meta$grid_major$loc$x) + ] + pars$loc$y <- pars$loc$y[ + !(pars$loc$y %in% plot.meta$grid_major$loc$y) + ] + } + pars +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From c9dc4e04d9a142e6f69e7567d3b67152cf676612 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 10:35:12 +0530 Subject: [PATCH 13/42] move getting unique axis labels to animint helpers. Also made corrections to get_bg and get_grid functions --- R/animint.R | 14 +++++++------- R/animintHelpers.R | 14 ++++++++++++-- man/getUniqueAxisLabels.Rd | 17 +++++++++++++++++ 3 files changed, 36 insertions(+), 9 deletions(-) create mode 100644 man/getUniqueAxisLabels.Rd diff --git a/R/animint.R b/R/animint.R index ea0d0a712..5fe5e12d6 100644 --- a/R/animint.R +++ b/R/animint.R @@ -66,13 +66,15 @@ parsePlot <- function(meta){ plot$facet, plot$coordinates, plot.meta$layout, panel$ranges)) # saving background info - plot.meta$panel_background <- get_bg(theme.pars$panel.background) - plot.meta$panel_border <- get_bg(theme.pars$panel.border) + plot.meta$panel_background <- get_bg(theme.pars$panel.background, theme.pars) + plot.meta$panel_border <- get_bg(theme.pars$panel.border, theme.pars) # extract major grid lines - plot.meta$grid_major <- get_grid(theme.pars$panel.grid.major) + plot.meta$grid_major <- get_grid(theme.pars$panel.grid.major, theme.pars, + plot.meta, meta) # extract minor grid lines - plot.meta$grid_minor <- get_grid(theme.pars$panel.grid.minor, major = F) + plot.meta$grid_minor <- get_grid(theme.pars$panel.grid.minor, theme.pars, + plot.meta, meta, major = F) ## Flip labels if coords are flipped - transform does not take care ## of this. Do this BEFORE checking if it is blank or not, so that @@ -149,9 +151,7 @@ parsePlot <- function(meta){ } } # grab the unique axis labels (makes rendering simpler) - axis.info <- plot.meta[grepl("^axis[0-9]+$", names(plot.meta))] - plot.meta$xlabs <- as.list(unique(unlist(lapply(axis.info, "[", "xlab")))) - plot.meta$ylabs <- as.list(unique(unlist(lapply(axis.info, "[", "ylab")))) + plot.meta <- getUniqueAxisLabels(plot.meta) if("element_blank"%in%attr(theme.pars$plot.title, "class")){ plot.meta$title <- "" diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 4dfbb2586..6c20e0beb 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -61,7 +61,7 @@ addShowSelectedForLegend <- function(meta, legend, L){ ## extract panel background and borders from theme.pars -get_bg <- function(pars) { +get_bg <- function(pars, theme.pars) { # if pars is not an empty list - occurs when using element_blank() if(length(pars) > 0) { @@ -84,7 +84,7 @@ get_bg <- function(pars) { ### function to extract grid info -get_grid <- function(pars, major = T) { +get_grid <- function(pars, theme.pars, plot.meta, meta, major = T) { # if pars is not an empty list - occurs when using element_blank() if(length(pars) > 0) { @@ -124,6 +124,16 @@ get_grid <- function(pars, major = T) { } +#' Get unique axis labels for the plot +#' @param plot.meta contains axis labels +#' @return modified \code{plot.meta} with unique axis labels +getUniqueAxisLabels <- function(plot.meta){ + axis.info <- plot.meta[grepl("^axis[0-9]+$", names(plot.meta))] + plot.meta$xlabs <- as.list(unique(unlist(lapply(axis.info, "[", "xlab")))) + plot.meta$ylabs <- as.list(unique(unlist(lapply(axis.info, "[", "ylab")))) + return(plot.meta) +} + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named diff --git a/man/getUniqueAxisLabels.Rd b/man/getUniqueAxisLabels.Rd new file mode 100644 index 000000000..c699c2834 --- /dev/null +++ b/man/getUniqueAxisLabels.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{getUniqueAxisLabels} +\alias{getUniqueAxisLabels} +\title{Get unique axis labels for the plot} +\usage{ +getUniqueAxisLabels(plot.meta) +} +\arguments{ +\item{plot.meta}{contains axis labels} +} +\value{ +modified \code{plot.meta} with unique axis labels +} +\description{ +Get unique axis labels for the plot +} From 2f1f96652efa3de0bdb6315d265b647c442c415e Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 10:43:34 +0530 Subject: [PATCH 14/42] get plot title in animint helpers --- R/animint.R | 8 +++----- R/animintHelpers.R | 10 ++++++++++ 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/R/animint.R b/R/animint.R index 5fe5e12d6..67a0f85d3 100644 --- a/R/animint.R +++ b/R/animint.R @@ -153,11 +153,9 @@ parsePlot <- function(meta){ # grab the unique axis labels (makes rendering simpler) plot.meta <- getUniqueAxisLabels(plot.meta) - if("element_blank"%in%attr(theme.pars$plot.title, "class")){ - plot.meta$title <- "" - } else { - plot.meta$title <- meta$plot$labels$title - } + # grab plot title if present + plot.meta$title <- getPlotTitle(theme.pars$plot.tiltle, + meta$plot$labels$title) ## Set plot width and height from animint.* options if they are ## present. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 6c20e0beb..b9567a13e 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -134,6 +134,16 @@ getUniqueAxisLabels <- function(plot.meta){ return(plot.meta) } + +getPlotTitle <- function(plot.title, meta.title){ + if("element_blank"%in%attr(plot.title, "class")){ + return("") + } else { + return(meta.title) + } +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From ce06d9a60b27ec7cb635ea4f5640ab23a0f6fb89 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 10:46:53 +0530 Subject: [PATCH 15/42] move hjust2anchor to animint helpers --- R/animint.R | 17 ----------------- R/animintHelpers.R | 19 +++++++++++++++++++ 2 files changed, 19 insertions(+), 17 deletions(-) diff --git a/R/animint.R b/R/animint.R index 67a0f85d3..6792d2a68 100644 --- a/R/animint.R +++ b/R/animint.R @@ -182,23 +182,6 @@ parsePlot <- function(meta){ built=meta$built) } -hjust2anchor <- function(hjust){ - if(is.null(hjust))return(NULL) - stopifnot(is.numeric(hjust)) - trans <- - c("0"="start", - "0.5"="middle", - "1"="end") - hjust.str <- as.character(hjust) - is.valid <- hjust.str %in% names(trans) - if(all(is.valid)){ - ## as.character removes names. - as.character(trans[hjust.str]) - }else{ - print(hjust[!is.valid]) - stop("animint only supports hjust values 0, 0.5, 1") - } -} #' Save a layer to disk, save and return meta-data. #' @param l one layer of the ggplot object. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index b9567a13e..cc15c71b5 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -144,6 +144,25 @@ getPlotTitle <- function(plot.title, meta.title){ } +hjust2anchor <- function(hjust){ + if(is.null(hjust))return(NULL) + stopifnot(is.numeric(hjust)) + trans <- + c("0"="start", + "0.5"="middle", + "1"="end") + hjust.str <- as.character(hjust) + is.valid <- hjust.str %in% names(trans) + if(all(is.valid)){ + ## as.character removes names. + as.character(trans[hjust.str]) + }else{ + print(hjust[!is.valid]) + stop("animint only supports hjust values 0, 0.5, 1") + } +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From 87ef02b22f253ea41fca91aaaf112d06ade0de49 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 11:31:52 +0530 Subject: [PATCH 16/42] move plot width and height to animint helpers --- R/animint.R | 14 +++----------- R/animintHelpers.R | 14 ++++++++++++++ 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/R/animint.R b/R/animint.R index 6792d2a68..649643ee1 100644 --- a/R/animint.R +++ b/R/animint.R @@ -159,17 +159,9 @@ parsePlot <- function(meta){ ## Set plot width and height from animint.* options if they are ## present. - plot.meta$options <- list() - theme <- meta$plot$theme - for(wh in c("width", "height")){ - awh <- paste0("animint.", wh) - plot.meta$options[[wh]] <- if(awh %in% names(theme)){ - theme[[awh]] - }else{ - 400 - } - } - + options_list <- getWidthAndHeight(meta$plot$theme) + plot.meta$options <- options_list + update_axes <- "animint.update_axes" if(update_axes %in% names(theme)){ plot.meta$options$update_axes <- theme[[update_axes]] diff --git a/R/animintHelpers.R b/R/animintHelpers.R index cc15c71b5..aab744c45 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -144,6 +144,20 @@ getPlotTitle <- function(plot.title, meta.title){ } +getWidthAndHeight <- function(theme){ + options_list <- list() + for(wh in c("width", "height")){ + awh <- paste0("animint.", wh) + options_list[[wh]] <- if(awh %in% names(theme)){ + theme[[awh]] + }else{ + 400 + } + } + options_list +} + + hjust2anchor <- function(hjust){ if(is.null(hjust))return(NULL) stopifnot(is.numeric(hjust)) From 1fc4154c8d90901b3a05820d4558143ebd0ca47d Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 11:36:10 +0530 Subject: [PATCH 17/42] move update axes option to animmint helpers --- R/animint.R | 6 +----- R/animintHelpers.R | 9 +++++++++ 2 files changed, 10 insertions(+), 5 deletions(-) diff --git a/R/animint.R b/R/animint.R index 649643ee1..d65a0d123 100644 --- a/R/animint.R +++ b/R/animint.R @@ -160,13 +160,9 @@ parsePlot <- function(meta){ ## Set plot width and height from animint.* options if they are ## present. options_list <- getWidthAndHeight(meta$plot$theme) + options_list <- setUpdateAxes(meta$plot$theme, options_list) plot.meta$options <- options_list - update_axes <- "animint.update_axes" - if(update_axes %in% names(theme)){ - plot.meta$options$update_axes <- theme[[update_axes]] - } - meta$plots[[meta$plot.name]] <- plot.meta list( diff --git a/R/animintHelpers.R b/R/animintHelpers.R index aab744c45..9ebb8336b 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -158,6 +158,15 @@ getWidthAndHeight <- function(theme){ } +setUpdateAxes <- function(theme, options_list){ + update_axes <- "animint.update_axes" + if(update_axes %in% names(theme)){ + options_list$update_axes <- theme[[update_axes]] + } + options_list +} + + hjust2anchor <- function(hjust){ if(is.null(hjust))return(NULL) stopifnot(is.numeric(hjust)) From ea17dceff2a634b6950a51372d88f18816f9c270 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 12:33:55 +0530 Subject: [PATCH 18/42] move getting layer params to animint helpers --- R/animint.R | 14 ++------------ R/animintHelpers.R | 20 ++++++++++++++++++++ man/getLayerParams.Rd | 17 +++++++++++++++++ 3 files changed, 39 insertions(+), 12 deletions(-) create mode 100644 man/getLayerParams.Rd diff --git a/R/animint.R b/R/animint.R index d65a0d123..6ce74d642 100644 --- a/R/animint.R +++ b/R/animint.R @@ -201,18 +201,8 @@ saveLayer <- function(l, d, meta){ ## to JSON as a named object, since that causes problems with ## e.g. colour. ## 'colour', 'size' etc. have been moved to aes_params - g$params <- c(l$geom_params, l$stat_params, l$aes_params, l$extra_params) - for(p.name in names(g$params)){ - if("chunk_vars" %in% names(g$params) && is.null(g$params[["chunk_vars"]])){ - g$params[["chunk_vars"]] <- character() - } - names(g$params[[p.name]]) <- NULL - ## Ignore functions. - if(is.function(g$params[[p.name]])){ - g$params[[p.name]] <- NULL - } - } - + g$params <- getLayerParams(l) + ## Make a list of variables to use for subsetting. subset_order is the ## order in which these variables will be accessed in the recursive ## JavaScript array structure. diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 9ebb8336b..e6a1845c0 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -186,6 +186,26 @@ hjust2anchor <- function(hjust){ } +#' Get all parameters for a layer +#' +#' @param l A single layer of the plot +#' @return All parameters in the layer +getLayerParams <- function(l){ + params <- c(l$geom_params, l$stat_params, l$aes_params, l$extra_params) + for(p.name in names(params)){ + if("chunk_vars" %in% names(params) && is.null(params[["chunk_vars"]])){ + params[["chunk_vars"]] <- character() + } + names(params[[p.name]]) <- NULL + ## Ignore functions. + if(is.function(params[[p.name]])){ + params[[p.name]] <- NULL + } + } + params +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named diff --git a/man/getLayerParams.Rd b/man/getLayerParams.Rd new file mode 100644 index 000000000..01fd6b672 --- /dev/null +++ b/man/getLayerParams.Rd @@ -0,0 +1,17 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{getLayerParams} +\alias{getLayerParams} +\title{Get all parameters for a layer} +\usage{ +getLayerParams(l) +} +\arguments{ +\item{l}{A single layer of the plot} +} +\value{ +All parameters in the layer +} +\description{ +Get all parameters for a layer +} From 7790dd2e117ec1fa236dbdb7813ba6501e55514d Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 12:48:20 +0530 Subject: [PATCH 19/42] move filtering of columns to animint helpers --- R/animint.R | 23 ++--------------------- R/animintHelpers.R | 31 +++++++++++++++++++++++++++++++ man/colsNotToCopy.Rd | 19 +++++++++++++++++++ 3 files changed, 52 insertions(+), 21 deletions(-) create mode 100644 man/colsNotToCopy.Rd diff --git a/R/animint.R b/R/animint.R index 6ce74d642..c6c129164 100644 --- a/R/animint.R +++ b/R/animint.R @@ -235,28 +235,9 @@ saveLayer <- function(l, d, meta){ ## Do not copy group unless it is specified in aes, and do not copy ## showSelected variables which are specified multiple times. - group.not.specified <- ! "group" %in% names(g$aes) - n.groups <- length(unique(NULL)) - need.group <- c("violin", "step", "hex") - group.meaningless <- g$geom %in% c( - "abline", "blank", - ##"crossbar", "pointrange", #documented as unsupported - ## "rug", "dotplot", "quantile", "smooth", "boxplot", - ## "bin2d", "map" - "errorbar", "errorbarh", - ##"bar", "histogram", #? - "hline", "vline", - "jitter", "linerange", - "point", - "rect", "segment") - dont.need.group <- ! g$geom %in% need.group - remove.group <- group.meaningless || - group.not.specified && 1 < n.groups && dont.need.group - do.not.copy <- c( - if(remove.group)"group", - s.aes$showSelected$ignored, - s.aes$clickSelects$ignored) + do.not.copy <- colsNotToCopy(g, s.aes) copy.cols <- ! names(d) %in% do.not.copy + g.data <- d[copy.cols] is.ss <- names(g$aes) %in% s.aes$showSelected$one diff --git a/R/animintHelpers.R b/R/animintHelpers.R index e6a1845c0..f05858b18 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -206,6 +206,37 @@ getLayerParams <- function(l){ } +#' Filter out columns that do not need to be copied +#' +#' @param g Geom with columns +#' @param s.aes Selector aesthetics +#' @return Character vector of columns not to be copied +colsNotToCopy <- function(g, s.aes){ + group.not.specified <- ! "group" %in% names(g$aes) + n.groups <- length(unique(NULL)) + need.group <- c("violin", "step", "hex") + group.meaningless <- g$geom %in% c( + "abline", "blank", + ##"crossbar", "pointrange", #documented as unsupported + ## "rug", "dotplot", "quantile", "smooth", "boxplot", + ## "bin2d", "map" + "errorbar", "errorbarh", + ##"bar", "histogram", #? + "hline", "vline", + "jitter", "linerange", + "point", + "rect", "segment") + dont.need.group <- ! g$geom %in% need.group + remove.group <- group.meaningless || + group.not.specified && 1 < n.groups && dont.need.group + do.not.copy <- c( + if(remove.group)"group", + s.aes$showSelected$ignored, + s.aes$clickSelects$ignored) + do.not.copy +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named diff --git a/man/colsNotToCopy.Rd b/man/colsNotToCopy.Rd new file mode 100644 index 000000000..36b63de6d --- /dev/null +++ b/man/colsNotToCopy.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{colsNotToCopy} +\alias{colsNotToCopy} +\title{Filter out columns that do not need to be copied} +\usage{ +colsNotToCopy(g, s.aes) +} +\arguments{ +\item{g}{Geom with columns} + +\item{s.aes}{Selector aesthetics} +} +\value{ +Character vector of columns not to be copied +} +\description{ +Filter out columns that do not need to be copied +} From 025ec7084bbca43ec2d968e0b24973e510620865 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 13:11:43 +0530 Subject: [PATCH 20/42] move check for Non Identity Stat + showSelected to animint helpers --- R/animint.R | 14 +++----------- R/animintHelpers.R | 18 ++++++++++++++++++ 2 files changed, 21 insertions(+), 11 deletions(-) diff --git a/R/animint.R b/R/animint.R index c6c129164..26efaecde 100644 --- a/R/animint.R +++ b/R/animint.R @@ -312,17 +312,9 @@ saveLayer <- function(l, d, meta){ ## sense with clickSelects/showSelected, since two ## clickSelects/showSelected values may show up in the same bin. stat.type <- class(l$stat)[[1]] - if(has.show && stat.type != "StatIdentity"){ - show.names <- names(g$aes)[is.show] - data.has.show <- show.names %in% names(g.data) - signal <- if(all(data.has.show))warning else stop - print(l) - signal( - "showSelected does not work with ", - stat.type, - ", problem: ", - g$classed) - } + checkForNonIdentityAndSS(stat.type, has.show, is.show, l, + g$classed, names(g.data), names(g$aes)) + ## Warn if non-identity position is used with animint aes. position.type <- class(l$position)[[1]] if(has.show && position.type != "PositionIdentity"){ diff --git a/R/animintHelpers.R b/R/animintHelpers.R index f05858b18..b72cd646f 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -237,6 +237,24 @@ colsNotToCopy <- function(g, s.aes){ } +## Generate error for non-Identity Stat + showSelected +checkForNonIdentityAndSS <- function(stat.type, has.show, is.show, l, + g_classed, g_data_names, + aes_names){ + if(has.show && stat.type != "StatIdentity"){ + show.names <- aes_names[is.show] + data.has.show <- show.names %in% names(g.data) + signal <- if(all(data.has.show))warning else stop + print(l) + signal( + "showSelected does not work with ", + stat.type, + ", problem: ", + g$classed) + } +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From b4ab179bf7281191df2f975cf3b9e01e4310130d Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 13:16:06 +0530 Subject: [PATCH 21/42] move switch_axes for coord_flip to animint helpers --- R/animint.R | 16 ++-------------- R/animintHelpers.R | 16 ++++++++++++++++ 2 files changed, 18 insertions(+), 14 deletions(-) diff --git a/R/animint.R b/R/animint.R index 26efaecde..2077a05e2 100644 --- a/R/animint.R +++ b/R/animint.R @@ -501,20 +501,8 @@ saveLayer <- function(l, d, meta){ ## best to just ignore this, but you can look at the source of ## e.g. geom-rect.r in ggplot2 to see how they deal with this by ## doing a piecewise linear interpolation of the shape. - - # Flip axes in case of coord_flip - # Switches column names. Eg. xmin to ymin, yntercept to xintercept etc. - switch_axes <- function(col.names){ - for(elem in seq_along(col.names)){ - if(grepl("^x", col.names[elem])){ - col.names[elem] <- sub("^x", "y", col.names[elem]) - } else if(grepl("^y", col.names[elem])){ - col.names[elem] <- sub("^y", "x", col.names[elem]) - } - } - col.names - } - + + ## Flip axes in case of coord_flip if(inherits(meta$plot$coordinates, "CoordFlip")){ names(g.data) <- switch_axes(names(g.data)) } diff --git a/R/animintHelpers.R b/R/animintHelpers.R index b72cd646f..11679ac43 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -255,6 +255,22 @@ checkForNonIdentityAndSS <- function(stat.type, has.show, is.show, l, } +#' Flip axes in case of coord_flip +#' Switches column names. Eg. xmin to ymin, yntercept to xintercept etc. +#' @param col.names Column names which need to be switched +#' @return Column names with x and y axes switched +switch_axes <- function(col.names){ + for(elem in seq_along(col.names)){ + if(grepl("^x", col.names[elem])){ + col.names[elem] <- sub("^x", "y", col.names[elem]) + } else if(grepl("^y", col.names[elem])){ + col.names[elem] <- sub("^y", "x", col.names[elem]) + } + } + col.names +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From f91ee88bd325e9401f5405ce90dc4502dd938253 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 13:17:22 +0530 Subject: [PATCH 22/42] forgot doc files for switch axes --- man/switch_axes.Rd | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 man/switch_axes.Rd diff --git a/man/switch_axes.Rd b/man/switch_axes.Rd new file mode 100644 index 000000000..1300d143e --- /dev/null +++ b/man/switch_axes.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{switch_axes} +\alias{switch_axes} +\title{Flip axes in case of coord_flip +Switches column names. Eg. xmin to ymin, yntercept to xintercept etc.} +\usage{ +switch_axes(col.names) +} +\arguments{ +\item{col.names}{Column names which need to be switched} +} +\value{ +Column names with x and y axes switched +} +\description{ +Flip axes in case of coord_flip +Switches column names. Eg. xmin to ymin, yntercept to xintercept etc. +} From 440fb8443a669af1f375a17b8d263da6318ae6f6 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 20 May 2017 13:20:25 +0530 Subject: [PATCH 23/42] move is.linetype() to animint helpers --- R/animint.R | 10 ---------- R/animintHelpers.R | 13 +++++++++++++ 2 files changed, 13 insertions(+), 10 deletions(-) diff --git a/R/animint.R b/R/animint.R index 2077a05e2..6c49ab9bb 100644 --- a/R/animint.R +++ b/R/animint.R @@ -509,16 +509,6 @@ saveLayer <- function(l, d, meta){ ## Output types ## Check to see if character type is d3's rgb type. - is.linetype <- function(x){ - x <- tolower(x) - namedlinetype <- - x%in%c("blank", "solid", "dashed", - "dotted", "dotdash", "longdash", "twodash") - xsplit <- sapply(x, function(i){ - sum(is.na(strtoi(strsplit(i,"")[[1]],16)))==0 - }) - namedlinetype | xsplit - } g$types <- sapply(g.data, function(x) { type <- paste(class(x), collapse="-") if(type == "character"){ diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 11679ac43..bb9a6f745 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -271,6 +271,19 @@ switch_axes <- function(col.names){ } +## Check if output type is linetype +is.linetype <- function(x){ + x <- tolower(x) + namedlinetype <- + x%in%c("blank", "solid", "dashed", + "dotted", "dotdash", "longdash", "twodash") + xsplit <- sapply(x, function(i){ + sum(is.na(strtoi(strsplit(i,"")[[1]],16)))==0 + }) + namedlinetype | xsplit +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From b6a32ef0092fa3be8157c757ce6cf7a423181b3f Mon Sep 17 00:00:00 2001 From: faizan Date: Tue, 23 May 2017 19:20:39 +0530 Subject: [PATCH 24/42] move getLegend to animint helpers --- R/animint.R | 65 --------------------------------------------- R/animintHelpers.R | 66 ++++++++++++++++++++++++++++++++++++++++++++++ man/getLegend.Rd | 2 +- 3 files changed, 67 insertions(+), 66 deletions(-) diff --git a/R/animint.R b/R/animint.R index 6c49ab9bb..5faa7d4e3 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1762,68 +1762,3 @@ getLegendList <- function(plistextra){ } legend.list[0 < sapply(legend.list, length)] } - -#' Function to get legend information for each scale -#' @param mb single entry from ggplot2:::guides_merge() list of legend data -#' @return list of legend information, NULL if guide=FALSE. -getLegend <- function(mb){ - guidetype <- mb$name - - ## The main idea of legends: - - ## 1. Here in getLegend I export the legend entries as a list of - ## rows that can be used in a data() bind in D3. - - ## 2. In add_legend in the JS code I create a for every - ## legend, and then I bind the legend entries to ,
, and - ## elements. - cleanData <- function(data, key, geom, params) { - nd <- nrow(data) - nk <- nrow(key) - if (nd == 0) return(data.frame()); # if no rows, return an empty df. - if ("guide" %in% names(params)) { - if (params[["guide"]] == "none") return(data.frame()); # if no guide, return an empty df - } - if (nd != nk) warning("key and data have different number of rows") - if (!".label" %in% names(key)) return(data.frame()); # if there are no labels, return an empty df. - data$`.label` <- key$`.label` - data <- data[, which(colSums(!is.na(data)) > 0)] # remove cols that are entirely na - if("colour" %in% names(data)) data[["colour"]] <- toRGB(data[["colour"]]) # color hex values - if("fill" %in% names(data)) data[["fill"]] <- toRGB(data[["fill"]]) # fill hex values - names(data) <- paste0(geom, names(data))# aesthetics by geom - names(data) <- gsub(paste0(geom, "."), "", names(data), fixed=TRUE) # label isn't geom-specific - data$label <- paste(data$label) # otherwise it is AsIs. - data - } - dataframes <- mapply(function(i, j) cleanData(i$data, mb$key, j, i$params), - mb$geoms, mb$geom.legend.list, SIMPLIFY = FALSE) - dataframes <- dataframes[which(sapply(dataframes, nrow)>0)] - # Check to make sure datframes is non-empty. If it is empty, return NULL. - if(length(dataframes)>0) { - data <- merge_recurse(dataframes) - } else return(NULL) - label.num <- suppressWarnings({ - as.numeric(data$label) - }) - ## mb$breaks could be a vector of values to use, NULL, or an empty - ## list with class "waiver" - breaks.specified <- length(mb$breaks) - entry.order <- if(breaks.specified || anyNA(label.num)){ - 1:nrow(data) - }else{ - nrow(data):1 - } - data <- lapply(entry.order, function(i) as.list(data[i,])) - if(guidetype=="none"){ - NULL - }else{ - list(guide = guidetype, - geoms = unlist(mb$geom.legend.list), - title = mb$title, - class = if(mb$is.discrete)mb$selector else mb$title, - selector = mb$selector, - is_discrete= mb$is.discrete, - legend_type = mb$legend_type, - entries = data) - } -} diff --git a/R/animintHelpers.R b/R/animintHelpers.R index bb9a6f745..8ae761049 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -486,3 +486,69 @@ merge_recurse <- function(dfs){ } result } + + +#' Function to get legend information for each scale +#' @param mb single entry from ggplot2:::guides_merge() list of legend data +#' @return list of legend information, NULL if guide=FALSE. +getLegend <- function(mb){ + guidetype <- mb$name + + ## The main idea of legends: + + ## 1. Here in getLegend I export the legend entries as a list of + ## rows that can be used in a data() bind in D3. + + ## 2. In add_legend in the JS code I create a for every + ## legend, and then I bind the legend entries to , ', - '', - '', - '', - '', - '', - '', - collapse="\n") - tr.vec <- sprintf(tr.tmp, base, base, base, animated, - n.interactive, name.interactive, - n.vars, name.vars) - trs <- paste(tr.vec, collapse="\n") - index.tmp.file <- file.path(doc.dir,"index-template.html") - index.tmp.lines <- readLines(index.tmp.file) - index.tmp <- paste(index.tmp.lines, collapse="\n") - vers <- packageVersion("animint") - index.filled <- sub("VERSION", vers, sub("TABLE", trs, index.tmp)) - index.file <- file.path(doc.dir, "index.html") - writeLines(index.filled, index.file) -} diff --git a/man/makeDocs.Rd b/man/makeDocs.Rd deleted file mode 100644 index 1912caa8c..000000000 --- a/man/makeDocs.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/doc.R -\name{makeDocs} -\alias{makeDocs} -\title{Make documentation web site.} -\usage{ -makeDocs(doc.dir) -} -\arguments{ -\item{doc.dir}{containing example subdirectories.} -} -\value{ -nothing. -} -\description{ -Make documentation web site. -} -\author{ -Toby Dylan Hocking -} From cf722e7da0fe60580e549e15950e81d668733ac3 Mon Sep 17 00:00:00 2001 From: faizan Date: Sat, 27 May 2017 18:13:09 +0530 Subject: [PATCH 27/42] add tests and testing framework --- .gitignore | 5 +- R/testHelpers.R | 8 +- tests/testthat.R | 43 ++ tests/testthat/helper-functions.R | 291 ++++++++++ tests/testthat/test-compiler-aes.R | 20 + tests/testthat/test-compiler-animation.R | 95 ++++ tests/testthat/test-compiler-chunk-vars.R | 122 +++++ tests/testthat/test-compiler-errors.R | 172 ++++++ tests/testthat/test-compiler-geom-line-path.R | 153 ++++++ tests/testthat/test-compiler-gist.R | 115 ++++ .../test-compiler-plot-named-timexxx.R | 61 +++ tests/testthat/test-compiler-plot-names.R | 21 + .../test-compiler-point-fill-numeric.R | 23 + .../test-compiler-save-separate-chunks.R | 337 ++++++++++++ tests/testthat/test-compiler-selectors.R | 24 + tests/testthat/test-compiler-stat-summary.R | 11 + .../testthat/test-renderer1-PeakConsistency.R | 150 +++++ tests/testthat/test-renderer1-WorldBank-NA.R | 95 ++++ .../test-renderer1-axis-angle-rotate.R | 93 ++++ tests/testthat/test-renderer1-character.R | 28 + tests/testthat/test-renderer1-coord.R | 46 ++ tests/testthat/test-renderer1-facet-coord.R | 41 ++ tests/testthat/test-renderer1-facet-lines.R | 64 +++ tests/testthat/test-renderer1-facet-space.R | 180 ++++++ tests/testthat/test-renderer1-facet-trivial.R | 42 ++ tests/testthat/test-renderer1-facets-strips.R | 48 ++ tests/testthat/test-renderer1-geom-abline.R | 31 ++ .../test-renderer1-global-variables.R | 36 ++ .../test-renderer1-hline-text-anchor.R | 256 +++++++++ tests/testthat/test-renderer1-hline.R | 36 ++ tests/testthat/test-renderer1-href.R | 70 +++ tests/testthat/test-renderer1-html-title.R | 19 + .../test-renderer1-interactive-facets.R | 95 ++++ tests/testthat/test-renderer1-knit-print.R | 158 ++++++ tests/testthat/test-renderer1-labels.R | 103 ++++ tests/testthat/test-renderer1-legends.R | 112 ++++ tests/testthat/test-renderer1-linetype.R | 50 ++ tests/testthat/test-renderer1-malaria.R | 241 ++++++++ tests/testthat/test-renderer1-many-facets.R | 65 +++ tests/testthat/test-renderer1-panels.R | 241 ++++++++ tests/testthat/test-renderer1-params.R | 56 ++ tests/testthat/test-renderer1-rect-size.R | 36 ++ tests/testthat/test-renderer1-segment-size.R | 25 + tests/testthat/test-renderer1-text.R | 32 ++ tests/testthat/test-renderer1-tooltip.R | 120 ++++ tests/testthat/test-renderer1-url-fragment.R | 61 +++ .../testthat/test-renderer1-variable-value.R | 337 ++++++++++++ .../test-renderer2-ChromHMMiterations.R | 67 +++ .../testthat/test-renderer2-PredictedPeaks.R | 291 ++++++++++ tests/testthat/test-renderer2-VariantModels.R | 338 ++++++++++++ .../test-renderer2-interactive-legends.R | 230 ++++++++ tests/testthat/test-renderer2-interactivity.R | 245 +++++++++ tests/testthat/test-renderer2-no-axes.R | 31 ++ .../test-renderer2-showSelected-same.R | 132 +++++ tests/testthat/test-renderer2-widerect.R | 422 ++++++++++++++ tests/testthat/test-renderer3-ChromHMMinit.R | 87 +++ .../test-renderer3-FunctionalPruning.R | 61 +++ tests/testthat/test-renderer3-knn.R | 210 +++++++ tests/testthat/test-renderer3-lilac_chaser.R | 96 ++++ tests/testthat/test-renderer3-path-key.R | 56 ++ tests/testthat/test-renderer3-point-fill-NA.R | 29 + tests/testthat/test-renderer3-roc.R | 118 ++++ tests/testthat/test-renderer3-stat-bin.R | 60 ++ .../test-renderer4-NA-separate-lines.R | 42 ++ .../test-renderer4-geom-point-stroke.R | 41 ++ tests/testthat/test-renderer4-make-xrect.R | 61 +++ tests/testthat/test-renderer4-prostateLasso.R | 112 ++++ .../test-renderer4-update-axes-multiple-ss.R | 330 +++++++++++ tests/testthat/test-renderer4-update-axes.R | 514 ++++++++++++++++++ .../test-renderer5-tooltip-interactivity.R | 59 ++ tests/testthat/test-shiny.R | 134 +++++ tests/testthat/test-tt-inter.R | 72 +++ 72 files changed, 8301 insertions(+), 5 deletions(-) create mode 100644 tests/testthat.R create mode 100644 tests/testthat/helper-functions.R create mode 100644 tests/testthat/test-compiler-aes.R create mode 100644 tests/testthat/test-compiler-animation.R create mode 100644 tests/testthat/test-compiler-chunk-vars.R create mode 100644 tests/testthat/test-compiler-errors.R create mode 100644 tests/testthat/test-compiler-geom-line-path.R create mode 100644 tests/testthat/test-compiler-gist.R create mode 100644 tests/testthat/test-compiler-plot-named-timexxx.R create mode 100644 tests/testthat/test-compiler-plot-names.R create mode 100644 tests/testthat/test-compiler-point-fill-numeric.R create mode 100644 tests/testthat/test-compiler-save-separate-chunks.R create mode 100644 tests/testthat/test-compiler-selectors.R create mode 100644 tests/testthat/test-compiler-stat-summary.R create mode 100644 tests/testthat/test-renderer1-PeakConsistency.R create mode 100644 tests/testthat/test-renderer1-WorldBank-NA.R create mode 100644 tests/testthat/test-renderer1-axis-angle-rotate.R create mode 100644 tests/testthat/test-renderer1-character.R create mode 100644 tests/testthat/test-renderer1-coord.R create mode 100644 tests/testthat/test-renderer1-facet-coord.R create mode 100644 tests/testthat/test-renderer1-facet-lines.R create mode 100644 tests/testthat/test-renderer1-facet-space.R create mode 100644 tests/testthat/test-renderer1-facet-trivial.R create mode 100644 tests/testthat/test-renderer1-facets-strips.R create mode 100644 tests/testthat/test-renderer1-geom-abline.R create mode 100644 tests/testthat/test-renderer1-global-variables.R create mode 100644 tests/testthat/test-renderer1-hline-text-anchor.R create mode 100644 tests/testthat/test-renderer1-hline.R create mode 100644 tests/testthat/test-renderer1-href.R create mode 100644 tests/testthat/test-renderer1-html-title.R create mode 100644 tests/testthat/test-renderer1-interactive-facets.R create mode 100644 tests/testthat/test-renderer1-knit-print.R create mode 100644 tests/testthat/test-renderer1-labels.R create mode 100644 tests/testthat/test-renderer1-legends.R create mode 100644 tests/testthat/test-renderer1-linetype.R create mode 100644 tests/testthat/test-renderer1-malaria.R create mode 100644 tests/testthat/test-renderer1-many-facets.R create mode 100644 tests/testthat/test-renderer1-panels.R create mode 100644 tests/testthat/test-renderer1-params.R create mode 100644 tests/testthat/test-renderer1-rect-size.R create mode 100644 tests/testthat/test-renderer1-segment-size.R create mode 100644 tests/testthat/test-renderer1-text.R create mode 100644 tests/testthat/test-renderer1-tooltip.R create mode 100644 tests/testthat/test-renderer1-url-fragment.R create mode 100644 tests/testthat/test-renderer1-variable-value.R create mode 100644 tests/testthat/test-renderer2-ChromHMMiterations.R create mode 100644 tests/testthat/test-renderer2-PredictedPeaks.R create mode 100644 tests/testthat/test-renderer2-VariantModels.R create mode 100644 tests/testthat/test-renderer2-interactive-legends.R create mode 100644 tests/testthat/test-renderer2-interactivity.R create mode 100644 tests/testthat/test-renderer2-no-axes.R create mode 100644 tests/testthat/test-renderer2-showSelected-same.R create mode 100644 tests/testthat/test-renderer2-widerect.R create mode 100644 tests/testthat/test-renderer3-ChromHMMinit.R create mode 100644 tests/testthat/test-renderer3-FunctionalPruning.R create mode 100644 tests/testthat/test-renderer3-knn.R create mode 100644 tests/testthat/test-renderer3-lilac_chaser.R create mode 100644 tests/testthat/test-renderer3-path-key.R create mode 100644 tests/testthat/test-renderer3-point-fill-NA.R create mode 100644 tests/testthat/test-renderer3-roc.R create mode 100644 tests/testthat/test-renderer3-stat-bin.R create mode 100644 tests/testthat/test-renderer4-NA-separate-lines.R create mode 100644 tests/testthat/test-renderer4-geom-point-stroke.R create mode 100644 tests/testthat/test-renderer4-make-xrect.R create mode 100644 tests/testthat/test-renderer4-prostateLasso.R create mode 100644 tests/testthat/test-renderer4-update-axes-multiple-ss.R create mode 100644 tests/testthat/test-renderer4-update-axes.R create mode 100644 tests/testthat/test-renderer5-tooltip-interactivity.R create mode 100644 tests/testthat/test-shiny.R create mode 100644 tests/testthat/test-tt-inter.R diff --git a/.gitignore b/.gitignore index 3dd3eb0fd..157909daf 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,7 @@ .RData .Ruserdata *.Rproj -.httr-oauth +*.httr-oauth +*animint-htmltest* +*intreg-selection* +*ANIMINT-TEST-FOO diff --git a/R/testHelpers.R b/R/testHelpers.R index 844639ee7..3542144c7 100644 --- a/R/testHelpers.R +++ b/R/testHelpers.R @@ -92,7 +92,7 @@ tests_run <- function(dir = ".", filter = NULL) { # avoid weird errors if this function is called via testhat::check() # https://github.com/hadley/testthat/issues/144 Sys.setenv("R_TESTS" = "") - testthat::test_check("animint", filter = filter) + testthat::test_check("animint2", filter = filter) } #' Kill child process(es) that may have been initiated in animint testing @@ -156,10 +156,10 @@ find_test_path <- function(dir = ".") { if (!grepl("animint", dir, fixed = TRUE)) stop("animint must appear somewhere in 'dir'") base_dir <- basename(dir) - if (!base_dir %in% c("animint", "tests", "testthat")) - stop("Basename of dir must be one of: 'animint', 'tests', 'testhat'") + if (!base_dir %in% c("animint2", "tests", "testthat")) + stop("Basename of dir must be one of: 'animint2', 'tests', 'testhat'") ext_dir <- switch(base_dir, - animint = "tests/testthat", + animint2 = "tests/testthat", tests = "testthat", testthat = "") file.path(dir, ext_dir) diff --git a/tests/testthat.R b/tests/testthat.R new file mode 100644 index 000000000..79521c077 --- /dev/null +++ b/tests/testthat.R @@ -0,0 +1,43 @@ +library("testthat") +library("animint2") +library("RSelenium") +library("XML") + +## RSelenium does not work with all versions of firefox, TDH usually +## tests using one of the following. + +## thocking@silene:~/R/animint-mine(fix-common-chunk)$ firefox --version +## Mozilla Firefox 11.0 +## thocking@silene:~/R/animint(animation-fix)$ java -jar ~/lib/R/library/RSelenium/bin/selenium-server-standalone.jar --version +## 10:10:58.942 INFO - Launching a standalone server +## 10:10:58.973 INFO - Java: Sun Microsystems Inc. 23.25-b01 +## 10:10:58.973 INFO - OS: Linux 3.8.0-44-generic amd64 +## 10:10:58.987 INFO - v2.44.0, with Core v2.44.0. Built from revision 76d78cf +## > packageVersion("RSelenium") +## [1] ‘1.3.6’ + +## > packageVersion("RSelenium") +## [1] ‘1.3.5’ +## tdhock@recycled:~/R/animint(roc-bugfix)$ firefox --version +## Mozilla Firefox 41.0 +## tdhock@recycled:~/R/animint(roc-bugfix*)$ java -jar ~/lib/R/library/RSelenium/bin/selenium-server-standalone.jar --version +## 08:13:17.803 INFO - Launching a standalone Selenium Server +## 08:13:17.877 INFO - Java: Oracle Corporation 24.79-b02 +## 08:13:17.877 INFO - OS: Linux 3.13.0-65-generic i386 +## 08:13:17.907 INFO - v2.47.0, with Core v2.47.0. Built from revision 0e4837e + +filter <- Sys.getenv("TEST_SUITE") +dont.need.browser <- grepl("compiler", filter) +use.browser <- !dont.need.browser +if(filter == ""){ + filter <- NULL +} +if(interactive()){ + setwd("testthat") + source("helper-functions.R") + tests_init("firefox") +} + +if(use.browser)tests_init() +tests_run(filter=filter) +if(use.browser)tests_exit() diff --git a/tests/testthat/helper-functions.R b/tests/testthat/helper-functions.R new file mode 100644 index 000000000..6075d0e19 --- /dev/null +++ b/tests/testthat/helper-functions.R @@ -0,0 +1,291 @@ +#' Apply `animint2dir` to a list ggplots and extract the (rendered) page source via RSelenium +#' +#' @param plotList A named list of ggplot2 objects +animint2HTML <- function(plotList) { + res <- animint2dir(plotList, out.dir = "animint-htmltest", + open.browser = FALSE) + remDr$refresh() + Sys.sleep(1) + res$html <- getHTML() + res +} + +translatePattern <- + paste0("translate[(]", + "(?.*?)", + ",", + "(?.*?)", + "[)]") + +acontext <- function(...){ + print(...) + context(...) +} + +## Parse the first occurance of pattern from each of several strings +## using (named) capturing regular expressions, returning a matrix +## (with column names). +str_match_perl <- function(string,pattern){ + stopifnot(is.character(string)) + stopifnot(is.character(pattern)) + stopifnot(length(pattern)==1) + parsed <- regexpr(pattern,string,perl=TRUE) + captured.text <- substr(string,parsed,parsed+attr(parsed,"match.length")-1) + captured.text[captured.text==""] <- NA + captured.groups <- do.call(rbind,lapply(seq_along(string),function(i){ + st <- attr(parsed,"capture.start")[i,] + if(is.na(parsed[i]) || parsed[i]==-1)return(rep(NA,length(st))) + substring(string[i],st,st+attr(parsed,"capture.length")[i,]-1) + })) + result <- cbind(captured.text,captured.groups) + colnames(result) <- c("",attr(parsed,"capture.names")) + result +} + +## Parse several occurances of pattern from each of several strings +## using (named) capturing regular expressions, returning a list of +## matrices (with column names). +str_match_all_perl <- function(string,pattern){ + stopifnot(is.character(string)) + stopifnot(is.character(pattern)) + stopifnot(length(pattern)==1) + parsed <- gregexpr(pattern,string,perl=TRUE) + lapply(seq_along(parsed),function(i){ + r <- parsed[[i]] + starts <- attr(r,"capture.start") + if(r[1]==-1)return(matrix(nrow=0,ncol=1+ncol(starts))) + names <- attr(r,"capture.names") + lengths <- attr(r,"capture.length") + full <- substring(string[i],r,r+attr(r,"match.length")-1) + subs <- substring(string[i],starts,starts+lengths-1) + m <- matrix(c(full,subs),ncol=length(names)+1) + colnames(m) <- c("",names) + if("name" %in% names){ + rownames(m) <- m[, "name"] + } + m + }) +} + +getSelectorWidgets <- function(html=getHTML()){ + tr.list <- getNodeSet(html, + '//table[@class="table_selector_widgets"]//tr') + td.list <- sapply(tr.list[-1], function(tr)xmlChildren(tr)[[1]]) + sapply(td.list, xmlValue) +} + +clickHTML <- function(...){ + v <- c(...) + stopifnot(length(v) == 1) + e <- remDr$findElement(names(v), as.character(v)) + e$clickElement() + Sys.sleep(1) + getHTML() +} + +clickID <- function(...){ + v <- c(...) + stopifnot(length(v) == 1) + e <- remDr$findElement("id", as.character(v)) + e$clickElement() +} + +getHTML <- function(){ + XML::htmlParse(remDr$getPageSource(), asText = TRUE) +} + +rgba.pattern <- paste0( + "(?rgba?)", + " *[(] *", + "(?[0-9]+)", + " *, *", + "(?[0-9]+)", + " *, *", + "(?[0-9]+)", + "(?:", + " *, *", + "(?[^)]+)", + ")?", + " *[)]") +ensure_rgba <- function(color.vec){ + match.mat <- str_match_perl(color.vec, rgba.pattern) + is.not.rgb <- is.na(match.mat[,1]) + hex.vec <- toRGB(color.vec[is.not.rgb]) + not.rgb.mat <- col2rgb(hex.vec, alpha=TRUE) + rgb.cols <- c("red", "green", "blue") + match.mat[is.not.rgb, rgb.cols] <- t(not.rgb.mat[rgb.cols,]) + match.mat[is.not.rgb, "alpha"] <- not.rgb.mat["alpha",]/255 + is.rgb <- match.mat[, "before"] == "rgb" + match.mat[is.rgb, "alpha"] <- 1 + is.transparent <- match.mat[, "alpha"] == 0 + match.mat[, rgb.cols] <- 0 + opacity <- as.numeric(match.mat[, "alpha"]) + if(any(is.na(opacity))){ + print(match.mat) + stop("missing alpha opacity value") + } + match.mat[, "alpha"] <- paste(opacity) + rgba.cols <- c(rgb.cols, "alpha") + rgba.mat <- matrix(match.mat[, rgba.cols], nrow(match.mat), length(rgba.cols)) + no.paren <- apply(rgba.mat, 1, function(x)paste(x, collapse=", ")) + paste0("rgba(", no.paren, ")") +} +stopifnot(ensure_rgba("transparent") == ensure_rgba("rgba(0, 0, 0, 0.0)")) +stopifnot(ensure_rgba("rgba(0, 0, 0, 0.0)") == ensure_rgba("rgba(0, 0, 0, 0)")) +stopifnot(ensure_rgba("rgba(0, 0, 0, 0.1)") != ensure_rgba("rgba(0, 0, 0, 0)")) +stopifnot(ensure_rgba("rgb(0, 0, 0)") == ensure_rgba("rgba(0, 0, 0, 1)")) + +expect_color <- function(computed.vec, expected.vec) { + computed.rgb <- ensure_rgba(computed.vec) + expected.rgb <- ensure_rgba(expected.vec) + expect_identical(computed.rgb, expected.rgb) +} + +expect_transform <- function(actual, expected, context = "translate", tolerance = 5) { + # supports multiple contexts + nocontext <- gsub(paste(context, collapse = "||"), "", actual) + # reduce to some 'vector' of numbers: (a, b, c, ...) + vec <- gsub("\\)\\(", ",", nocontext) + clean <- gsub("\\)", "", gsub("\\(", "", vec)) + nums <- as.numeric(strsplit(clean, split = "\\,")[[1]]) + expect_equal(nums, expected, tolerance, scale = 1) +} + +expect_links <- function(html, urls){ + expect_attrs(html, "a", "href", urls) +} + +expect_attrs <- function(html, element.name, attr.name, urls){ + stopifnot(is.character(urls)) + xpath <- paste0("//", element.name) + pattern <- paste0(attr.name, "$") + node.set <- getNodeSet(html, xpath) + rendered.urls <- rep(NA, length(node.set)) + for(node.i in seq_along(node.set)){ + node <- node.set[[node.i]] + node.attrs <- xmlAttrs(node) + href.i <- grep(pattern, names(node.attrs)) + if(length(href.i)==1){ + rendered.urls[[node.i]] <- node.attrs[[href.i]] + } + } + for(u in urls){ + expect_true(u %in% rendered.urls) + } +} + +expect_styles <- function(html, styles.expected){ + stopifnot(is.list(styles.expected)) + stopifnot(!is.null(names(styles.expected))) + geom <- getNodeSet(html, '//*[@class="geom"]') + style.strs <- as.character(sapply(geom, function(x) xmlAttrs(x)["style"])) + pattern <- + paste0("(?\\S+?)", + ": *", + "(?.+?)", + ";") + style.matrices <- str_match_all_perl(style.strs, pattern) + for(style.name in names(styles.expected)){ + style.values <- sapply(style.matrices, function(m)m[style.name, "value"]) + for(expected.regexp in styles.expected[[style.name]]){ + ## Test that one of the observed styles matches the expected + ## regexp. + expect_match(style.values, expected.regexp, all=FALSE) + } + } +} + +getTextValue <- function(tick)xmlValue(getNodeSet(tick, "text")[[1]]) + +getStyleValue <- function(html, xpath, style.name) { + node.list <- getNodeSet(html, xpath) + style.vec <- sapply(node.list, function(node){ + attr.vec <- xmlAttrs(node) + if("style" %in% names(attr.vec)){ + attr.vec[["style"]] + }else{ + NA + } + }) + pattern <-paste0( + "(?\\S+?)", + ": *", + "(?.+?)", + ";") + style.matrices <- str_match_all_perl(style.vec, pattern) + sapply(style.matrices, function(m){ + ## style.name can be a vector of style names to extract! + val.vec <- rep(NA, length(style.name)) + if(1 < length(style.name))names(val.vec) <- style.name + found <- style.name %in% rownames(m) + if(any(found)){ + style.found <- style.name[found] + val.vec[found] <- m[style.found, "value"] + } + val.vec + }) +} + +## testthat there is no warning generated by a piece of code. +expect_no_warning <- function(object, regexp, ...){ + expect_warning(object, NA) +} + +getTransform <- function(tick)xmlAttrs(tick)[["transform"]] + +## get difference between axis ticks in both pixels and on original data scale +## @param doc rendered HTML document +## @param ticks which ticks? (can use text label of the tick) +## @param axis which axis? +getTickDiff <- function(doc, ticks = 1:2, axis="x"){ + g.ticks <- getNodeSet(doc, "g[@class='tick major']") + tick.labs <- sapply(g.ticks, getTextValue) + names(g.ticks) <- tick.labs + tick.transform <- sapply(g.ticks[ticks], getTransform) + trans.mat <- str_match_perl(tick.transform, translatePattern) + num <- as.numeric(trans.mat[, axis]) + val <- abs(diff(num)) + attr(val, "label-diff") <- diff(as.numeric(names(tick.transform))) + val +} +both.equal <- function(x, tolerance = 0.1){ + if(is.null(x) || !is.vector(x) || length(x) != 2){ + return(FALSE) + } + isTRUE(all.equal(x[[1]], x[[2]], tolerance)) +} + +# normalizes tick differences obtained by getTickDiff +normDiffs <- function(xdiff, ydiff, ratio = 1) { + xlab <- attr(xdiff, "label-diff") + ylab <- attr(ydiff, "label-diff") + if (is.null(xlab) || is.null(ylab)) warning("label-diff attribute is missing") + c(ratio * xdiff / xlab, ydiff / ylab) +} + + +# Return the range of the geom in pixels as rendered in the browser +# Works for geom_point +get_pixel_ranges <- function(html=NULL, geom_class=NULL){ + if(is.null(html) || is.null(geom_class)){ + stop("please specify html and geom_class") + } + nodes <- getNodeSet(html, + paste0('//g[@class="', geom_class, '"]//circle')) + attrs <- sapply(nodes, xmlAttrs)[c("cx", "cy"), ] + if(is.matrix(attrs)){ + xranges <- range(as.numeric(attrs[1, ]), na.rm = T) + yranges <- range(as.numeric(attrs[2, ]), na.rm = T) + }else if(is.vector(attrs) && length(attrs) == 2){ + xranges <- range(as.numeric(attrs[["cx"]]), na.rm = T) + yranges <- range(as.numeric(attrs[["cy"]]), na.rm = T) + }else{ + return(NULL) + } + return(list(x=xranges, y=yranges)) +} + +# returns TRUE if two objects are unequal using all.equal +unequal <- function(object, expected, ...){ + !isTRUE(all.equal(object, expected, ...)) +} diff --git a/tests/testthat/test-compiler-aes.R b/tests/testthat/test-compiler-aes.R new file mode 100644 index 000000000..de5a3ab27 --- /dev/null +++ b/tests/testthat/test-compiler-aes.R @@ -0,0 +1,20 @@ +acontext("aesthetics") + +test_that("we stop when data does not contain interactive variables",{ + ## In interactive testing, foo will be found and copied to + ## ggplot_build(gg)$data, but on R CMD check, animint2dir only has + ## access to its environment, so it will not have access to foo + ## defined in the global environment, and so calling ggplot_build on + ## this plot from inside animint2dir will result in a "foo not found" + ## error. However, animint should check for the validity of its + ## interactive variables BEFORE calling ggplot_build, so below we + ## should generate an animint error, not a ggplot_build error. + foo <- 1 + gg <- ggplot()+ + geom_point(aes(Sepal.Length, Petal.Length, showSelected=foo), + data=iris) + viz <- list(scatter=gg) + expect_that({ + info <- animint2dir(viz, open.browser=FALSE) + }, throws_error("data does not have interactive variables")) +}) diff --git a/tests/testthat/test-compiler-animation.R b/tests/testthat/test-compiler-animation.R new file mode 100644 index 000000000..28b2cf08b --- /dev/null +++ b/tests/testthat/test-compiler-animation.R @@ -0,0 +1,95 @@ +acontext("animation") + +library(maps) +library(plyr) +data(UStornadoes, package = "animint") +stateOrder <- data.frame(state = unique(UStornadoes$state)[order(unique(UStornadoes$TornadoesSqMile), decreasing=T)], rank = 1:49) # order states by tornadoes per square mile +UStornadoes$state <- factor(UStornadoes$state, levels=stateOrder$state, ordered=TRUE) +UStornadoes$weight <- 1/UStornadoes$LandArea +# useful for stat_bin, etc. + +USpolygons <- map_data("state") +USpolygons$state = state.abb[match(USpolygons$region, tolower(state.name))] + +UStornadoCounts <- + ddply(UStornadoes, .(state, year), summarize, count=length(state)) +tornado.anim <- + list(map=ggplot()+ + geom_polygon(aes(x=long, y=lat, group=group, clickSelects=state), + data=USpolygons, fill="black", colour="grey") + + geom_segment(aes(x=startLong, y=startLat, xend=endLong, yend=endLat, + showSelected=year), + colour="#55B1F7", data=UStornadoes), + ts=ggplot()+ + make_tallrect(UStornadoCounts, "year")+ + geom_line(aes(year, count, clickSelects=state, group=state), + data=UStornadoCounts, alpha=3/5, size=4), + time=list(variable="year",ms=2000)) + +test_that("tornado animation frames correct", { + info <- animint2dir(tornado.anim, open.browser=FALSE) + expect_identical(info$time$sequence, as.character(1950:2012)) +}) + +## WorldBank/gapminder example. +data(WorldBank, package = "animint") +motion <- + list(scatter=ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population), + data=WorldBank)+ + make_text(WorldBank, 55, 9, "year")+ + scale_size_continuous(range=c(1.5,20)), + ts=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + time=list(variable="year",ms=3000), + duration=list(year=1000)) + +test_that("WorldBank animation frames correct", { + info <- animint2dir(motion, open.browser=FALSE) + expect_identical(info$time$sequence, as.character(1960:2012)) +}) + +## Evolution. +data(generation.loci, package = "animint") +## Example: 2 plots, 2 selectors. +generations <- data.frame(generation=unique(generation.loci$generation)) +loci <- data.frame(locus=unique(generation.loci$locus)) +first <- subset(generation.loci,generation==1) +ancestral <- do.call(rbind,lapply(split(first,first$locus),with,{ + stopifnot(all(frequency==frequency[1])) + data.frame(locus=locus[1],ancestral=frequency[1]) +})) +gl.list <- split(generation.loci, + with(generation.loci,list(generation,locus))) +generation.pop <- do.call(rbind,lapply(gl.list,with,{ + data.frame(generation=generation[1], locus=locus[1], + estimated=mean(frequency)) +})) +generation.pop$ancestral <- ancestral$ancestral[generation.pop$locus] +evolution <- + list(ts=ggplot()+ + geom_vline(aes(xintercept=generation, + clickSelects=generation), + data=generations, alpha=1/2, lwd=4)+ + geom_line(aes(generation, frequency, group=population, + showSelected=locus), data=generation.loci), + predictions=ggplot()+ + geom_point(aes(ancestral, estimated, showSelected=generation, + clickSelects=locus), + data=generation.pop, size=4, alpha=3/4), + loci=ggplot()+ + geom_vline(aes(xintercept=locus, clickSelects=locus), + data=loci, alpha=1/2, lwd=4)+ + geom_point(aes(locus, frequency, showSelected=generation), + data=generation.loci), + duration=list(generation=1000), + time=list(variable="generation",ms=2000)) + +test_that("tornado animation frames correct", { + info <- animint2dir(evolution, open.browser=FALSE) + expect_identical(info$time$sequence, as.character(1:100)) +}) diff --git a/tests/testthat/test-compiler-chunk-vars.R b/tests/testthat/test-compiler-chunk-vars.R new file mode 100644 index 000000000..ee643f154 --- /dev/null +++ b/tests/testthat/test-compiler-chunk-vars.R @@ -0,0 +1,122 @@ +acontext("chunk vars") + +test_that("produce as many chunk files as specified", { + viz <- list(iris=ggplot()+ + geom_point(aes(Petal.Width, Sepal.Length, showSelected=Species), + data=iris, chunk_vars="Species", validate_params = FALSE)) + tdir <- tempfile() + dir.create(tdir) + tsv.files <- Sys.glob(file.path(tdir, "*.tsv")) + expect_equal(length(tsv.files), 0) + animint2dir(viz, tdir, open.browser=FALSE) + tsv.files <- Sys.glob(file.path(tdir, "*.tsv")) + expect_equal(length(tsv.files), 3) + + viz <- list(iris=ggplot()+ + geom_point(aes(Petal.Width, Sepal.Length, showSelected=Species), + data=iris, chunk_vars=character(), validate_params = FALSE)) + tdir <- tempfile() + dir.create(tdir) + tsv.files <- Sys.glob(file.path(tdir, "*.tsv")) + expect_equal(length(tsv.files), 0) + animint2dir(viz, tdir, open.browser=FALSE) + tsv.files <- Sys.glob(file.path(tdir, "*.tsv")) + expect_equal(length(tsv.files), 1) +}) + +test_that("produce informative errors for bad chunk_vars", { + viz <- list(iris=ggplot()+ + geom_point(aes(Petal.Width, Sepal.Length, showSelected=Species), + data=iris, chunk_vars="species", validate_params = FALSE)) + expect_error({ + animint2dir(viz, open.browser=FALSE) + }, "invalid chunk_vars species; possible showSelected variables: Species") + + viz <- list(iris=ggplot()+ + geom_point(aes(Petal.Width, Sepal.Length, showSelected=Species), + data=iris, chunk_vars=NA, validate_params = FALSE)) + expect_error({ + animint2dir(viz, open.browser=FALSE) + }, paste("chunk_vars must be a character vector;", + "use chunk_vars=character() to specify 1 chunk"), fixed=TRUE) +}) + +data(breakpoints, package = "animint") +only.error <- subset(breakpoints$error,type=="E") +only.segments <- subset(only.error,bases.per.probe==bases.per.probe[1]) +signal.colors <- c(estimate="#0adb0a", + latent="#0098ef") +breakpointError <- + list(signal=ggplot()+ + geom_point(aes(position, signal, showSelected=bases.per.probe), + data=breakpoints$signals)+ + geom_line(aes(position, signal), colour=signal.colors[["latent"]], + data=breakpoints$imprecision)+ + geom_segment(aes(first.base, mean, xend=last.base, yend=mean, + showSelected=segments, + showSelected2=bases.per.probe), + colour=signal.colors[["estimate"]], + data=breakpoints$segments)+ + geom_vline(aes(xintercept=base, + showSelected=segments, + showSelected2=bases.per.probe), + colour=signal.colors[["estimate"]], + linetype="dashed", + data=breakpoints$breaks), + error=ggplot()+ + geom_vline(aes(xintercept=segments, clickSelects=segments), + data=only.segments, lwd=17, alpha=1/2)+ + geom_line(aes(segments, error, group=bases.per.probe, + clickSelects=bases.per.probe), + data=only.error, lwd=4)) + +bytes.used <- function(file.vec, apparent.size = FALSE){ + ## Note: the apparent.size flag gives sizes that are consistent + ## with file.info, but those sizes actually under-estimate the + ## actual amount of space used on disk. + file.str <- paste(file.vec, collapse=" ") + if(apparent.size){ + cmd <- paste("ls -l", file.str, "| awk '{print $5}'") + } else{ + cmd <- paste("du -k", file.str, "| awk '{print $1 * 1024}'") + } + tryCatch({ + du.lines <- system(cmd, intern=TRUE) + as.integer(sub("\t.*", "", du.lines)) + }, error=function(e){ + rep(NA_integer_, length(file.vec)) + }) +} + +test.paths <- + c(tempfile=tempfile(), + HOME=file.path(Sys.getenv("HOME"), "ANIMINT_TEST_FOO"), + getwd=file.path(getwd(),"ANIMINT_TEST_FOO")) +for(f in test.paths){ + unlink(f) + cat("foo", file=f) +} +du.bytes <- bytes.used(test.paths) +apparent.bytes <- bytes.used(test.paths, apparent.size = TRUE) +byte.df <- data.frame(du.bytes, apparent.bytes, + file.size=file.size(test.paths), + test.paths) + +test_that("default chunks are at least 4KB", { + tdir <- tempfile() + dir.create(tdir) + tsv.files <- Sys.glob(file.path(tdir, "*.tsv")) + expect_equal(length(tsv.files), 0) + expect_no_warning({ + animint2dir(breakpointError, tdir, open.browser=FALSE) + }) + tsv.files <- Sys.glob(file.path(tdir, ".+chunk[0-9]+.tsv")) # exclude common tsv + geom <- sub("_.*", "", basename(tsv.files)) + files.by.geom <- split(tsv.files, geom) + for(files in files.by.geom){ + if(length(files) > 1){ + info <- file.info(files) + expect_true(all(4096 < info$size)) + } + } +}) diff --git a/tests/testthat/test-compiler-errors.R b/tests/testthat/test-compiler-errors.R new file mode 100644 index 000000000..88a5a4ce5 --- /dev/null +++ b/tests/testthat/test-compiler-errors.R @@ -0,0 +1,172 @@ +acontext("compiler errors") + +test_that("aes(showSelected=var1, showSelected=var2) is an error", { + viz <- list( + petals=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, + showSelected=Species, + showSelected=Sepal.Width), + data=iris) + ) + expect_error({ + animint2dir(viz, open.browser=FALSE) + }, "aes names must be unique, problems: showSelected") +}) + +test_that("informative error for time option with no showSelected", { + viz <- list( + petals=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length), + data=iris), + time=list(variable="Species", ms=3000) + ) + expect_error({ + animint2dir(viz, open.browser=FALSE) + }, "no interactive aes for time variable Species") +}) + +test_that("no error for time option with clickSelects", { + viz <- list( + petals=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, clickSelects=Species), + data=iris), + time=list(variable="Species", ms=3000) + ) + info <- animint2dir(viz, open.browser=FALSE) +}) + +test_that("no error for time option with showSelected", { + viz <- list( + petals=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, showSelected=Species), + data=iris), + time=list(variable="Species", ms=3000) + ) + info <- animint2dir(viz, open.browser=FALSE) +}) + +test_that("no error for time option with color", { + viz <- list( + petals=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, color=Species), + data=iris), + time=list(variable="Species", ms=3000) + ) + info <- animint2dir(viz, open.browser=FALSE) +}) + +data("WorldBank", package="animint") +viz.no.duration <- list( + scatter=ggplot()+ + geom_point(aes(x=life.expectancy, y=fertility.rate, color=region, + key=country, + showSelected=year, + clickSelects=country), + data=WorldBank)+ + geom_text(aes(x=life.expectancy, y=fertility.rate, label=country, + showSelected=year, + showSelected2=country, + showSelected3=region, + clickSelects=country), + data=WorldBank), + first=list( + year=1970, + country=c("Canada", "India", "Pakistan", "Japan"), + region=c("North America", "South Asia")), + selector.types=list(country="multiple") +) + +test_that("no warning for no duration vars", { + expect_no_warning({ + info <- animint2dir(viz.no.duration, open.browser=FALSE) + }) +}) + +test_that("warn no key for geom_text with showSelected=duration var", { + viz.duration <- viz.no.duration + viz.duration$duration <- list(year=2000) + expect_warning({ + info <- animint2dir(viz.duration, open.browser=FALSE) + }, "to ensure that smooth transitions are interpretable, aes(key) should be specifed for geoms with aes(showSelected=year), problem: geom2_text_scatter", fixed=TRUE) +}) + +viz.key.duration <- list( + scatter=ggplot()+ + geom_point(aes(x=life.expectancy, y=fertility.rate, color=region, + key=country, + showSelected=year, + clickSelects=country), + data=WorldBank)+ + geom_text(aes(x=life.expectancy, y=fertility.rate, label=country, + showSelected=year, + showSelected2=country, + showSelected3=region, + key=country, + clickSelects=country), + data=WorldBank), + first=list( + year=1970, + country=c("Canada", "India", "Pakistan", "Japan"), + region=c("North America", "South Asia")), + selector.types=list(country="multiple"), + duration=list(year=2000) +) +test_that("no warning when key specified", { + expect_no_warning({ + info <- animint2dir(viz.key.duration, open.browser=FALSE) + }) +}) + +test_that("warning for position=stack and showSelected", { + set.seed(1) + df <- data.frame( + letter = c(replicate(4, LETTERS[1:5])), + count = c(replicate(4, rbinom(5, 50, 0.5))), + stack = rep(rep(1:2, each = 5), 2), + facet = rep(1:2, each = 10) + ) + gg <- ggplot() + + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_bar( + aes(letter, count, fill = stack, showSelected=facet, + key=paste(stack, letter)), + data = df, + stat = "identity", + position="stack" + ) + complicated <- list( + plot = gg, + time = list(variable = "facet", ms = 1000), + duration = list(facet = 1000) + ) + expect_warning({ + animint2dir(complicated, open.browser=FALSE) + }, "showSelected only works with position=identity, problem: geom1_bar_plot") +}) + +test_that("no warning for position=stack without showSelected", { + set.seed(1) + df <- data.frame( + letter = c(replicate(4, LETTERS[1:5])), + count = c(replicate(4, rbinom(5, 50, 0.5))), + stack = rep(rep(1:2, each = 5), 2), + facet = rep(1:2, each = 10) + ) + gg <- ggplot() + + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_bar( + aes(letter, count, fill = stack), + data = df, + stat = "identity", + position="stack" + ) + no.show <- list( + plot = gg + ) + expect_no_warning({ + animint2dir(no.show, open.browser=FALSE) + }) +}) + diff --git a/tests/testthat/test-compiler-geom-line-path.R b/tests/testthat/test-compiler-geom-line-path.R new file mode 100644 index 000000000..533b0ce1c --- /dev/null +++ b/tests/testthat/test-compiler-geom-line-path.R @@ -0,0 +1,153 @@ +library(testthat) +acontext("geom line") + +data(intreg, package = "animint") +min.logratio <- min(intreg$signals$logratio)-0.2 +max.logratio <- max(intreg$signals$logratio) +intreg$breaks$min.logratio <- min.logratio +intreg$breaks$max.logratio <- max.logratio +signal.colors <- c(estimate="#0adb0a", latent="#0098ef") +breakpoint.colors <- c("1breakpoint"="#ff7d7d", "0breakpoints"='#f6f4bf') +models.by.signal <- with(intreg, split(segments, segments$signal)) +signals.by.signal <- with(intreg, split(signals, signals$signal)) +model.selection.list <- list() +sig.labels.list <- list() +sig.seg.names.list <- list() +sig.names.list <- list() +for(signal.name in names(models.by.signal)){ + signal <- signals.by.signal[[signal.name]] + signal.models <- models.by.signal[[signal.name]] + models.by.segments <- split(signal.models, signal.models$segments) + sig.seg.by.segments <- list() + for(segments.str in names(models.by.segments)){ + segments <- as.numeric(segments.str) + model <- models.by.segments[[segments.str]] + model$rss <- NA + model$data <- NA + for(segment.i in 1:nrow(model)){ + one.segment <- model[segment.i, ] + seg.data <- + subset(signal, + one.segment$first.base < base & + base < one.segment$last.base) + model$data[segment.i] <- nrow(seg.data) + residual.vec <- seg.data$logratio - one.segment$mean + model$rss[segment.i] <- sum(residual.vec * residual.vec) + } + stopifnot(sum(model$data) == nrow(signal)) + model.stats <- + data.frame(signal=signal.name, + segments, + error=sum(model$rss), + data=sum(model$data)) + model.selection.list[[paste(signal.name, segments.str)]] <- model.stats + if(segments.str == "1"){ + sig.labels.list[[signal.name]] <- model.stats + } + sig.seg.by.segments[[segments.str]] <- + data.frame(signal=signal.name, + segments, min.logratio, max.logratio, + base=(min(signal$base)+max(signal$base))/2) + } + sig.seg.tall <- do.call(rbind, sig.seg.by.segments) + sig.seg.names.list[[signal.name]] <- sig.seg.tall + sig.names.list[[signal.name]] <- sig.seg.tall[1,] +} +model.selection.sorted <- do.call(rbind, model.selection.list) +set.seed(1) +model.selection <- + model.selection.sorted[sample(1:nrow(model.selection.sorted)),] +sig.seg.names <- do.call(rbind, sig.seg.names.list) +sig.names <- do.call(rbind, sig.names.list) +sig.labels <- do.call(rbind, sig.labels.list) + +## Plot segments rather than penalty. +mmir.selection <- + list(error=ggplot()+ + ggtitle("Select profile and number of segments")+ + make_tallrect(model.selection, "segments", + colour=signal.colors[["estimate"]])+ + theme_bw()+ + theme_animint(width=600)+ + theme(panel.margin=grid::unit(0, "lines"))+ + facet_grid(. ~ geom)+ + geom_text(aes(0, error, label=signal, clickSelects=signal), + data=sig.labels, hjust=1)+ + scale_x_continuous("segments", breaks=c(1, 5, 10, 20), + limits=c(-2, 20))+ + xlab("squared error")+ + geom_line(aes(segments, error, + group=signal, + clickSelects=signal), + data=data.frame(model.selection, geom="line"), + alpha=0.6, size=8)+ + geom_path(aes(segments, error, + group=signal, + clickSelects=signal), + data=data.frame(model.selection, geom="path"), + alpha=0.6, size=8), + + signal=ggplot()+ + theme_bw()+ + theme_animint(width=800)+ + scale_x_continuous("position on chromosome (mega base pairs)", + breaks=c(100,200))+ + scale_fill_manual(values=breakpoint.colors,guide="none")+ + geom_blank(aes(first.base/1e6, logratio+2/8), data=intreg$ann)+ + ggtitle("Copy number profile and maximum likelihood segmentation")+ + ylab("logratio")+ + geom_point(aes(base/1e6, logratio, + showSelected=signal), + data=intreg$sig)+ + geom_segment(aes(first.base/1e6, mean, xend=last.base/1e6, yend=mean, + showSelected=signal, + showSelected2=segments), + data=intreg$seg, colour=signal.colors[["estimate"]])+ + geom_segment(aes(base/1e6, min.logratio, + xend=base/1e6, yend=max.logratio, + showSelected=signal, + showSelected2=segments), + colour=signal.colors[["estimate"]], + linetype="dashed", + data=intreg$breaks)+ + geom_text(aes(base/1e6, max.logratio, label=paste("signal", signal), + showSelected=signal), + data=sig.names)+ + geom_text(aes(base/1e6, min.logratio, + label=sprintf("%d segment%s", segments, + ifelse(segments==1, "", "s")), + showSelected=signal, + showSelected2=segments), + data=sig.seg.names, color=signal.colors[["estimate"]]), + + first=list(signal="4.2", segments=4)) + +animint2dir(mmir.selection, "intreg-selection", open.browser=FALSE) + +all.increasing <- function(num.vec){ + stopifnot(is.numeric(num.vec)) + all(0 < diff(num.vec)) +} +expected.list <- + list(geom3_line_error=TRUE, + geom4_path_error=FALSE) +result.list <- list() +for(g.class in names(expected.list)){ + expected <- expected.list[[g.class]] + tsv.path <- Sys.glob(file.path("intreg-selection", paste0(g.class, "*"))) + g.data <- read.table(tsv.path, header=TRUE, comment.char = "") + tsv.by.signal <- split(g.data, g.data$clickSelects) + for(signal.name in names(tsv.by.signal)){ + one.signal <- tsv.by.signal[[signal.name]] + computed <- all.increasing(one.signal$x) + result.list[[paste(g.class, signal.name)]] <- + data.frame(g.class, signal.name, computed, expected) + } +} +result <- do.call(rbind, result.list) + +test_that("line sorts tsv data by x value, path does not", { + with(result, { + expect_identical(computed, expected) + }) +}) diff --git a/tests/testthat/test-compiler-gist.R b/tests/testthat/test-compiler-gist.R new file mode 100644 index 000000000..9a685fe09 --- /dev/null +++ b/tests/testthat/test-compiler-gist.R @@ -0,0 +1,115 @@ +acontext("gists") + +test_that("animint2gist() returns an object of class 'gist'", { + g <- animint2gist(list(p = qplot(1:10)), browse = FALSE) + expect_is(g, "gist") + gistr::delete(g) +}) + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +subset(not.na, is.na(not.na$population)) +subset(not.na, country == "Kuwait" & 1991 <= year & year <= 1995) +not.na[not.na$country=="Kuwait", "population"] <- 1700000 +BOTH <- function(df, top, side){ + data.frame(df, + top=factor(top, c("Fertility rate", "Years")), + side=factor(side, c("Years", "Life expectancy"))) +} +TS <- function(df)BOTH(df, "Years", "Life expectancy") +SCATTER <- function(df)BOTH(df, "Fertility rate", "Life expectancy") +TS2 <- function(df)BOTH(df, "Fertility rate", "Years") +years <- unique(not.na[, "year", drop=FALSE]) +by.country <- split(not.na, not.na$country) +min.years <- do.call(rbind, lapply(by.country, subset, year == min(year))) +min.years$year <- 1958 + +viz.chunk.none <- + list(ts=ggplot()+ + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + xlab("")+ + ylab("")+ + geom_tallrect(aes(xmin=year-1/2, xmax=year+1/2, + clickSelects=year), + data=TS(years), alpha=1/2)+ + theme_animint(width=1000, height=800)+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=TS(not.na), size=4, alpha=3/5)+ + geom_point(aes(year, life.expectancy, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS(not.na))+ + geom_text(aes(year, life.expectancy, colour=region, label=country, + showSelected=country, + clickSelects=country), + data=TS(min.years), hjust=1)+ + geom_widerect(aes(ymin=year-1/2, ymax=year+1/2, + clickSelects=year), + data=TS2(years), alpha=1/2)+ + geom_path(aes(fertility.rate, year, group=country, colour=region, + clickSelects=country), + data=TS2(not.na), size=4, alpha=3/5)+ + geom_point(aes(fertility.rate, year, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS2(not.na))+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population, + key=country), # key aesthetic for animated transitions! + chunk_vars=c(), + data=SCATTER(not.na), + validate_params = FALSE)+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year, + showSelected3=region, + clickSelects=country, + key=country), #also use key here! + chunk_vars=c(), + data=SCATTER(not.na), + validate_params = FALSE)+ + scale_size_animint(breaks=10^(5:9))+ + facet_grid(side ~ top, scales="free")+ + geom_text(aes(5, 85, label=paste0("year = ", year), + showSelected=year), + data=SCATTER(years)), + time=list(variable="year",ms=3000), + duration=list(year=1000), + first=list(year=1975, country=c("United States", "Vietnam")), + selector.types=list(country="multiple"), + title="World Bank data (multiple selection, facets)") + +test_that("too big files error", { + expect_error({ + animint2gist(viz.chunk.none) + }, "files bigger than 1MB") +}) + +set.seed(1) +nrows <- 300 +too.many <- data.frame(row=1:nrows, x=rnorm(nrows), y=rnorm(nrows)) +too.tall.list <- list() +for(col.name in c("x", "y")){ + too.tall.list[[col.name]] <- + data.frame(col.name, + row=1:nrows, + value=too.many[[col.name]]) +} +too.tall <- do.call(rbind, too.tall.list) + +viz.too.many <- + list(points=ggplot()+ + geom_point(aes(x, y, clickSelects=row), + data=too.many), + bars=ggplot()+ + geom_bar(aes(col.name, value, showSelected=row), + chunk_vars=c("row"), + stat="identity", + position="identity", + data=too.tall, + validate_params = FALSE)) + +test_that("too many files error", { + expect_error({ + animint2gist(viz.too.many) + }, "the Gist API will not serve more than 300 files") +}) diff --git a/tests/testthat/test-compiler-plot-named-timexxx.R b/tests/testthat/test-compiler-plot-named-timexxx.R new file mode 100644 index 000000000..4783e9059 --- /dev/null +++ b/tests/testthat/test-compiler-plot-named-timexxx.R @@ -0,0 +1,61 @@ +acontext("plot named timexxx") + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +subset(not.na, is.na(not.na$population)) +not.na[not.na$country=="Kuwait", "population"] <- 1700000 +viz <- + list(scatter=ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population), + data=not.na)+ + geom_text(aes(life.expectancy, fertility.rate, label=country, + showSelected=country, showSelected2=year), + data=not.na)+ + scale_size_animint(breaks=10^(5:9))+ + make_text(WorldBank, 55, 9, "year"), + + timeSeries=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + + duration=list(year=1000)) + +test_that("plot named timeSeries is OK without time option list", { + animint2dir(viz, open.browser=FALSE) +}) + +viz.time <- viz +viz.time$time <- list(ms=2000, variable="year") + +test_that("plot named timeSeries is OK with time option list", { + animint2dir(viz.time, open.browser=FALSE) +}) + +bad <- + list(scatter=ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population), + data=not.na)+ + geom_text(aes(life.expectancy, fertility.rate, label=country, + showSelected=country, showSelected2=year), + data=not.na)+ + scale_size_animint(breaks=10^(5:9))+ + make_text(WorldBank, 55, 9, "year"), + + time=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + + duration=list(year=1000)) + +test_that("plot named time is NOT OK", { + expect_error({ + animint2dir(bad, open.browser=FALSE) + }, "time option list needs ms, variable") +}) + diff --git a/tests/testthat/test-compiler-plot-names.R b/tests/testthat/test-compiler-plot-names.R new file mode 100644 index 000000000..aa3c0d425 --- /dev/null +++ b/tests/testthat/test-compiler-plot-names.R @@ -0,0 +1,21 @@ +acontext("plot names") + +gg <- qplot(Petal.Width, Sepal.Width, data=iris) + +test_that("error if we refer to non-existent plot names", { + viz <- list(irisPlot=gg, width=list(foo=1000)) + expect_error({ + suppressWarnings(animint2dir(viz)) + }, "no ggplot named foo") + viz <- list(OK=gg, height=list(bar=1000)) + expect_error({ + suppressWarnings(animint2dir(viz)) + }, "no ggplot named bar") +}) + +test_that("non-alphanumeric plot names are not allowed", { + viz <- list(fooo.bar=gg) + expect_error({ + animint2dir(viz) + }, "ggplot names must match ^[a-zA-Z][a-zA-Z0-9]*$", fixed=TRUE) +}) diff --git a/tests/testthat/test-compiler-point-fill-numeric.R b/tests/testthat/test-compiler-point-fill-numeric.R new file mode 100644 index 000000000..fbff22075 --- /dev/null +++ b/tests/testthat/test-compiler-point-fill-numeric.R @@ -0,0 +1,23 @@ +acontext("geom_point(aes(fill=numeric))") + +viz <- + list(fill=ggplot()+ + geom_point(aes(Sepal.Width, Petal.Width, + fill=Petal.Length), + data=iris, color="black", size=5, pch=21), + size=ggplot()+ + geom_point(aes(Sepal.Width, Petal.Width, + size=Sepal.Length), + data=iris, color="black", fill="red", pch=21), + color=ggplot()+ + geom_point(aes(Sepal.Width, Petal.Width, + color=Petal.Length), + data=iris, size=5)+ + scale_color_continuous("petal length")) + +test_that("legends are produced", { + info <- animint2dir(viz, open.browser=FALSE) + expect_identical(names(info$plots$fill$legend), "Petal.Length") + expect_identical(names(info$plots$size$legend), "Sepal.Length") + expect_identical(names(info$plots$color$legend), "petal length") +}) diff --git a/tests/testthat/test-compiler-save-separate-chunks.R b/tests/testthat/test-compiler-save-separate-chunks.R new file mode 100644 index 000000000..408975084 --- /dev/null +++ b/tests/testthat/test-compiler-save-separate-chunks.R @@ -0,0 +1,337 @@ +acontext("save separate chunks") +library(plyr) + +data(FluView, package = "animint") +# use one season to test +state_flu <- subset(FluView$state_flu, SEASON == "2008-09") +flu.by.weekend <- split(state_flu, state_flu$WEEKEND) +map.by.weekend <- list() +for(WEEKEND in names(flu.by.weekend)){ + one.weekend <- flu.by.weekend[[WEEKEND]] + rownames(one.weekend) <- one.weekend$state + map.flu <- subset(FluView$USpolygons, select=-order) + map.flu$level <- one.weekend[map.flu$region, "level"] + map.by.weekend[[WEEKEND]] <- data.frame(WEEKEND, map.flu) +} +map_flu <- do.call(rbind, map.by.weekend) + +# visualize CDC FluView data +# activity level heatmap +level.heatmap <- ggplot() + + geom_tile(aes(x = WEEKEND, y = STATENAME, fill = level), + data = state_flu) + + geom_tallrect(aes(xmin = WEEKEND - 3, xmax = WEEKEND + 3, + clickSelects = WEEKEND), + data = state_flu, alpha = .5) + + scale_x_date(expand = c(0, 0)) + + scale_fill_gradient2(low = "white", high = "red", breaks = 0:10) + + theme_animint(width = 1200, height = 700) + + ggtitle("CDC ILI Activity Level in Lower 48 States") + +# state map +theme_opts <- list(theme(panel.grid.minor = element_blank(), + panel.grid.major = element_blank(), + panel.background = element_blank(), + panel.border = element_blank(), + plot.background = element_rect(fill = "#E6E8Ed"), + axis.line = element_blank(), + axis.text.x = element_blank(), + axis.text.y = element_blank(), + axis.ticks = element_blank(), + axis.title.x = element_blank(), + axis.title.y = element_blank())) + +p <- ggplot() + + make_text(map_flu, -100, 50, "WEEKEND", + "CDC FluView in Lower 48 States ending %s") + + scale_fill_gradient2(low = "white", high = "red", breaks = 0:10, + guide = "none") + + theme_opts + + theme_animint(width = 750, height= 500) + +test_that("save separate chunks for geom_polygon", { + state.map <- p + + geom_polygon(aes(x = long, y = lat, group = group, fill = level, + showSelected = WEEKEND), + data = map_flu, + colour = "black", size = 1) + viz <- + list(levelHeatmap = level.heatmap, + stateMap = state.map, + title = "FluView") + out.dir <- file.path(getwd(), "FluView") + unlink(out.dir, recursive = TRUE) + animint2dir(viz, out.dir = out.dir, open.browser = FALSE) + + common.chunk <- + list.files(path = out.dir, pattern = "geom.+polygon.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom.+polygon.+chunk[0-9]+.tsv", + full.names = TRUE) + ## number of chunks + expect_equal(length(common.chunk), 1L) + no.chunks <- length(varied.chunks) + expect_equal(no.chunks, length(unique(map_flu$WEEKEND))) + ## test common.chunk + common.data <- read.csv(common.chunk, sep = "\t", comment.char = "") + expect_equal(nrow(common.data), nrow(FluView$USpolygons)) + expect_true(all(c("x", "y", "group") %in% names(common.data))) + ## randomly choose n varied.chunk to test + idx <- sample(no.chunks, 1) + varied.data <- read.csv(varied.chunks[idx], sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), length(unique(FluView$USpolygons$group))) + expect_true(all(c("fill", "group") %in% names(varied.data))) + + unlink(out.dir, recursive = TRUE) +}) + +### test case 2 +USdots <- + ddply(FluView$USpolygons, .(region), summarise, + mean.lat = mean(lat), + mean.long = mean(long)) +# add state flu to points. +flu.points <- ldply(unique(state_flu$WEEKEND), function(we) { + df <- subset(state_flu, WEEKEND == we) + merge(USdots, df, by.x = "region", by.y = "state") +}) + +test_that("save separate chunks for geom_point without specifying group", { + # the compiler will not break a geom into chunks if any of the resulting + # chunk tsv files is estimated to be less than 4KB. + state.map <- p + + geom_point(aes(x = mean.long, y = mean.lat, fill = level, + showSelected = WEEKEND), + data = flu.points, + color = "black", + size = 10) + viz <- + list(levelHeatmap = level.heatmap, + stateMap = state.map, + title = "FluView") + out.dir <- file.path(getwd(), "FluView-point") + unlink(out.dir, recursive = TRUE) + animint2dir(viz, out.dir = out.dir, open.browser = FALSE) + + common.chunk <- + list.files(path = out.dir, pattern = "geom.+point.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom.+point.+chunk[0-9]+.tsv", + full.names = TRUE) + ## number of chunks + expect_equal(length(common.chunk), 0L) + expect_equal(length(varied.chunks), 1L) + ## test the only one varied.chunk + varied.data <- read.csv(varied.chunks, sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), nrow(flu.points)) + expect_true(all(c("fill", "x", "y", "showSelected") %in% names(varied.data))) + + unlink(out.dir, recursive = TRUE) + + ## force to split into chunks + state.map <- p + + geom_point(aes(x = mean.long, y = mean.lat, fill = level, + showSelected = WEEKEND), + data = flu.points, + color = "black", + size = 10, + chunk_vars = "WEEKEND", + validate_params = FALSE) + viz <- + list(levelHeatmap = level.heatmap, + stateMap = state.map, + title = "FluView") + animint2dir(viz, out.dir = out.dir, open.browser = FALSE) + + common.chunk <- + list.files(path = out.dir, pattern = "geom.+point.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom.+point.+chunk[0-9]+.tsv", + full.names = TRUE) + # number of chunks + expect_equal(length(common.chunk), 1L) + no.chunks <- length(varied.chunks) + expect_equal(no.chunks, length(unique(flu.points$WEEKEND))) + # test common.chunk + common.data <- read.csv(common.chunk, sep = "\t", comment.char = "") + expect_equal(nrow(common.data), nrow(USdots)) + expect_true(all(c("x", "y", "group") %in% names(common.data))) + # randomly choose an varied.chunk to test + idx <- sample(no.chunks, 1) + varied.data <- read.csv(varied.chunks[idx], sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), nrow(USdots)) + expect_true(all(c("fill", "group") %in% names(varied.data))) + + unlink(out.dir, recursive = TRUE) +}) + +### test case 3: WorldBank data, without Israel. For some reason +### Israel appears on travis/wercker but not on local computers, so we +### just get rid of it for this test. +data(WorldBank, package = "animint") + +no.israel <- subset(WorldBank, country != "Israel") + +## Local computer: + +## 77 Europe & Central Asia (all income levels) 85 +## 78 South Asia 88 + +## wercker: + +## 77 Europe & Central Asia (all income levels) 85 +## 78 Middle East & North Africa (all income levels) 86 +## 79 South Asia 88 + +## 77 Ireland population 2932650 +## 78 Israel population 2877000 +## 79 India population 542983934 + +life.not.na <- !is.na(no.israel$life.expectancy) +fert.not.na <- !is.na(no.israel$fertility.rate) +pop.not.na <- !is.na(no.israel$population) +text.not.na <- no.israel[life.not.na & fert.not.na, ] +points.not.na <- no.israel[life.not.na & fert.not.na & pop.not.na, ] +unique.year.vec <- unique(points.not.na$year) +unique.country.vec <- unique(no.israel$country) + +scatter <- ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population, + tooltip=paste(country, "population", population), + key=country), # key aesthetic for animated transitions! + data=no.israel)+ + geom_text(aes(life.expectancy, fertility.rate, label=country, + showSelected=country, showSelected2=year, + key=country), # also use key here! + data=no.israel, chunk_vars=c("year", "country"), + validate_params = FALSE)+ + scale_size_animint(breaks=10^(5:9))+ + make_text(no.israel, 55, 9, "year") + +ts <- ggplot()+ + make_tallrect(no.israel, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=no.israel, size=4, alpha=3/5) + +test_that("save separate chunks for non-spatial geoms with repetitive field, multiple vars selected, and NAs", { + viz <- + list(scatter = scatter, + ts = ts, + time=list(variable="year", ms=3000), + duration=list(year=1000), + first=list(year=1975, country="United States"), + title="World Bank data (multiple selections)") + out.dir <- file.path(getwd(), "WorldBank-all") + unlink(out.dir, recursive=TRUE) + info <- animint2dir(viz, out.dir = out.dir, open.browser = FALSE) + + ## multiple vars selected + common.chunk <- + list.files(path = out.dir, pattern = "geom2_text.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom2_text.+chunk[0-9]+.tsv", + full.names = TRUE) + ## number of chunks + expect_equal(length(common.chunk), 0L) + expect_equal(length(varied.chunks), nrow(text.not.na)) + ## choose first varied.chunk to test + varied.data <- read.csv(varied.chunks[1], sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), 1) + expect_true(all(c("x", "y", "label", "key") %in% names(varied.data))) + + ## single var selected + common.chunk <- + list.files(path = out.dir, pattern = "geom.+point.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom.+point.+chunk[0-9]+.tsv", + full.names = TRUE) + ## number of chunks + expect_equal(length(common.chunk), 1L) + expect_equal(length(varied.chunks), length(unique.year.vec)) + ## test common.chunk + common.data <- read.csv(common.chunk, sep = "\t", comment.char = "") + expect_equal(nrow(common.data), length(unique.country.vec)) + common.must.have <- c("colour", "clickSelects", "key", "showSelectedlegendcolour", "fill", "group") + expect_true(all(common.must.have %in% names(common.data))) + ## choose first varied.chunk to test + chunk.info <- info$geoms$geom1_point_scatter$chunks + year.str <- names(chunk.info)[[1]] + year.num <- as.numeric(year.str) + expected.data <- subset(points.not.na, year == year.num) + chunk.num <- chunk.info[[year.str]] + tsv.name <- sprintf("geom1_point_scatter_chunk%d.tsv", chunk.num) + tsv.path <- file.path(out.dir, tsv.name) + varied.data <- read.csv(tsv.path, sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), nrow(expected.data)) + varied.must.have <- + c("size", "x", "y", "tooltip", "group") + expect_true(all(varied.must.have %in% names(varied.data))) + + unlink(out.dir, recursive = TRUE) +}) + +### test case 4 +data(breakpoints, package = "animint") + +only.error <- subset(breakpoints$error, type=="E") +only.segments <- subset(only.error, samples==samples[1]) +signal.colors <- c(estimate="#0adb0a", latent="#0098ef") + +signal <- ggplot()+ + geom_point(aes(position, signal, showSelected=samples), + data=breakpoints$signals)+ + geom_line(aes(position, signal), colour=signal.colors[["latent"]], + data=breakpoints$imprecision)+ + geom_segment(aes(first.base, mean, xend=last.base, yend=mean, + showSelected=segments, + showSelected2=samples), + colour=signal.colors[["estimate"]], + data=breakpoints$segments)+ + geom_vline(aes(xintercept=base, + showSelected=segments, + showSelected2=samples), + colour=signal.colors[["estimate"]], + linetype="dashed", + data=breakpoints$breaks) + +test_that("save separate chunks for non-spatial geoms with nest_order not being group", { + viz <- + list(signal = signal, + title="breakpointError (select one model size)") + out.dir <- file.path(getwd(), "breakpointError-single") + unlink(out.dir, recursive = TRUE) + animint2dir(viz, out.dir = out.dir, open.browser = FALSE) + + common.chunk <- + list.files(path = out.dir, pattern = "geom.+segment.+chunk_common.tsv", + full.names = TRUE) + varied.chunks <- + list.files(path = out.dir, pattern = "geom.+segment.+chunk[0-9]+.tsv", + full.names = TRUE) + # number of chunks + expect_equal(length(common.chunk), 1L) + no.chunks <- length(varied.chunks) + expect_equal(no.chunks, length(unique(breakpoints$segments$samples))) + ## test common.chunk + common.data <- read.csv(common.chunk, sep = "\t", comment.char = "") + n.samples <- length(unique(breakpoints$segments$samples)) + expected.rows <- nrow(breakpoints$segments) / n.samples + expect_equal(nrow(common.data), expected.rows) + common.must.have <- c("showSelected", "group") + expect_true(all(common.must.have %in% names(common.data))) + # randomly choose an varied.chunk to test + idx <- sample(no.chunks, 1) + varied.data <- read.csv(varied.chunks[idx], sep = "\t", comment.char = "") + expect_equal(nrow(varied.data), expected.rows) + must.have <- c("x", "xend", "y", "yend", "group") + expect_true(all(must.have %in% names(varied.data))) + + unlink(out.dir, recursive = TRUE) +}) diff --git a/tests/testthat/test-compiler-selectors.R b/tests/testthat/test-compiler-selectors.R new file mode 100644 index 000000000..f2535a2a5 --- /dev/null +++ b/tests/testthat/test-compiler-selectors.R @@ -0,0 +1,24 @@ +acontext("selectors") + +test_that("first options are copied to selectors", { + data(WorldBank, package = "animint") + gapminder <- + list(ts=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, color=region, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + scatter=ggplot()+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population), + data=WorldBank)+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year), + data=WorldBank)+ + make_text(WorldBank, 5, 80, "year")+ + scale_size_animint(pixel.range=c(2,20), breaks=10^(4:9)), + first=list(country="United States", year=1984)) + info <- animint2dir(gapminder, open.browser=FALSE) + expect_identical(info$selectors$country$selected, "United States") + expect_identical(info$selectors$year$selected, "1984") +}) diff --git a/tests/testthat/test-compiler-stat-summary.R b/tests/testthat/test-compiler-stat-summary.R new file mode 100644 index 000000000..d36c3ef13 --- /dev/null +++ b/tests/testthat/test-compiler-stat-summary.R @@ -0,0 +1,11 @@ +acontext("stat_summary") + +test_that("stat_summary does not infinitely recurse", { + data(UStornadoes, package = "animint") + gg <- ggplot()+ + stat_summary(aes(year, year, clickSelects=year), + data=UStornadoes, fun.y=length, geom="bar") + L <- list(bar=gg) + info <- animint2dir(L, open.browser=FALSE) + expect_identical(length(info$geoms), 1L) +}) diff --git a/tests/testthat/test-renderer1-PeakConsistency.R b/tests/testthat/test-renderer1-PeakConsistency.R new file mode 100644 index 000000000..59974ce5d --- /dev/null +++ b/tests/testthat/test-renderer1-PeakConsistency.R @@ -0,0 +1,150 @@ +acontext("PeakConsistency") + +data(PeakConsistency, package = "animint") + +color.code <- + c(truth="#1B9E77", #teal + PeakSeg="#D95F02", #orange + PeakSegJoint="#7570B3", #violet + "#E7298A", #pink + "#66A61E", #green + "#E6AB02", #tan + "#A6761D", #brown + "#666666") #grey + +second.small <- + list(signals=ggplot()+ + theme_bw()+ + theme_animint(width=1000, height=800)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(sample.id ~ ., labeller=function(val){ + mapply(paste, "sample", val, SIMPLIFY = FALSE) + })+ + guides(size="none")+ + geom_segment(aes(chromStart+0.5, mean, + xend=chromEnd+0.5, yend=mean, + showSelected=seed, showSelected2=sample.size, + color=model, size=model), + data=subset(PeakConsistency$model, increase==1))+ + scale_size_manual(values=c(PeakSegJoint=0.5, PeakSeg=1))+ + scale_color_manual(values=color.code), + first=list(sample.size=5)) + +info <- animint2HTML(second.small) + +getStroke <- function(element.list){ + style.strs <- sapply(element.list, function(x) xmlAttrs(x)["style"]) + pattern <- + paste0("(?\\S+?)", + ": *", + "(?.+?)", + ";") + style.matrices <- str_match_all_perl(style.strs, pattern) + sapply(style.matrices, function(m)m["stroke", "value"]) +} + +test_that("15 segments of both colors", { + line.list <- + getNodeSet(info$html, '//g[@class="geom1_segment_signals"]//line') + computed.vec <- getStroke(line.list) + color.counts <- as.numeric(table(computed.vec)) + expect_equal(color.counts, c(15, 15)) +}) + +viz <- + list(increase=ggplot()+ + make_tallrect(PeakConsistency$increase, "increase")+ + geom_line(aes(increase, mean.diff), data=PeakConsistency$increase), + errors=ggplot()+ + ylab("distance from true peaks to estimated peaks")+ + scale_color_manual(values=color.code)+ + make_tallrect(PeakConsistency$error, "sample.size")+ + geom_line(aes(sample.size, errors, + clickSelects=seed, + showSelected=increase, + group=interaction(model, seed), + color=model), + size=5, + alpha=0.7, + data=PeakConsistency$error), + signals=ggplot()+ + theme_bw()+ + theme_animint(width=1000, height=800)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(sample.id ~ ., labeller=function(val){ + mapply(paste, "sample", val, SIMPLIFY = FALSE) + })+ + geom_point(aes(chromEnd, count, + showSelected3=increase, + showSelected=seed), + color="grey50", + data=PeakConsistency$signal)+ + geom_vline(aes(xintercept=chromStart+0.5, color=model, + showSelected=increase, + showSelected2=seed), + show.legend=TRUE, + linetype="dashed", + data=PeakConsistency$truth)+ + guides(size="none")+ + geom_segment(aes(chromStart+0.5, mean, + xend=chromEnd+0.5, yend=mean, + showSelected3=increase, + showSelected=seed, showSelected2=sample.size, + color=model, size=model), + data=PeakConsistency$model)+ + geom_vline(aes(xintercept=chromStart+0.5, + showSelected=seed, showSelected2=sample.size, + showSelected3=increase, + color=model, size=model), + show.legend=TRUE, + linetype="dashed", + data=PeakConsistency$guess)+ + scale_size_manual(values=c(PeakSegJoint=1, PeakSeg=2))+ + scale_color_manual(values=color.code), + first=list(sample.size=5)) + +## viz$errors+facet_grid(. ~ increase) +## viz$signals+facet_grid(sample.id ~ increase + seed) + +info <- animint2HTML(viz) + +test_that("4 paths of both colors in second plot", { + path.list <- + getNodeSet(info$html, '//g[@class="geom4_line_errors"]//path') + computed.vec <- getStroke(path.list) + color.counts <- as.numeric(table(computed.vec)) + expect_equal(color.counts, c(4, 4)) +}) + +test_that("15 segments of both colors in last plot", { + line.list <- + getNodeSet(info$html, '//g[@class="geom7_segment_signals"]//line') + computed.vec <- getStroke(line.list) + color.counts <- as.numeric(table(computed.vec)) + expect_equal(color.counts, c(15, 15)) +}) + +## test_that("showSelectedlegendcolour is truth", { +## tsv.path <- +## file.path("animint-htmltest", "geom6_vline_signals_chunk_common.tsv") +## common.df <- read.table(tsv.path, comment.char="", header=TRUE) +## computed.vec <- paste(common.df$showSelectedlegendcolour) +## expected.vec <- rep("truth", length(computed.vec)) +## expect_identical(computed.vec, expected.vec) +## tsv.path <- +## file.path("animint-htmltest", "geom6_vline_signals_chunk1.tsv") +## varied.df <- read.table(tsv.path, comment.char="", header=TRUE) +## }) + +test_that("20 truth in last plot", { + line.list <- + getNodeSet(info$html, '//g[@class="geom6_vline_signals"]//line') + expect_equal(length(line.list), 20) +}) + +test_that("20 prediction in last plot", { + line.list <- + getNodeSet(info$html, '//g[@class="geom8_vline_signals"]//line') + expect_equal(length(line.list), 20) +}) + diff --git a/tests/testthat/test-renderer1-WorldBank-NA.R b/tests/testthat/test-renderer1-WorldBank-NA.R new file mode 100644 index 000000000..192564e6e --- /dev/null +++ b/tests/testthat/test-renderer1-WorldBank-NA.R @@ -0,0 +1,95 @@ +acontext("WorldBank-NA") + +data(WorldBank, package = "animint") + +## This example is good because it uses constancy +## http://bost.ocks.org/mike/constancy/ +no.time <- + list(scatter=ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population, + tooltip=paste(country, "population", population), + key=country), # key aesthetic for animated transitions! + data=WorldBank)+ + geom_text(aes(life.expectancy, fertility.rate, label=country, + showSelected=country, showSelected2=year, + key=country), # also use key here! + data=WorldBank)+ + scale_size_animint(breaks=10^(5:9))+ + make_text(WorldBank, 55, 9, "year"), + + ts=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + + bar=ggplot()+ + theme_animint(height=2400)+ + geom_bar(aes(country, life.expectancy, fill=region, + key=country, + showSelected=year, clickSelects=country), + data=WorldBank, stat="identity", position="identity")+ + coord_flip(), + + duration=list(year=1000), + + first=list(year=1975, country="United States"), + + title="World Bank data (single selection)") + +bar.attributes <- function(html){ + node.set <- + getNodeSet(info$html, '//g[@class="geom6_bar_bar"]//rect') + sapply(node.set, xmlAttrs) +} + +info <- animint2HTML(no.time) + +chunk1.tsv <- file.path("animint-htmltest", "geom6_bar_bar_chunk1.tsv") +chunk1 <- read.table(chunk1.tsv, sep="\t", header=TRUE, + comment.char="", quote="") + +test_that("chunk1 contains expected columns", { + expect_identical(sort(names(chunk1)), sort(c("xmax", "group"))) +}) + +test_that("chunk1 does not contain NA", { + not.missing <- !is.na(chunk1) + expect_true(all(not.missing)) +}) + +common.tsv <- file.path("animint-htmltest", "geom6_bar_bar_chunk_common.tsv") +common <- read.table(common.tsv, sep="\t", header=TRUE, + comment.char="", quote="") + +test_that("common chunk contains expected columns", { + expected.cols <- + c("ymin", "ymax", "xmin", "fill", "key", + "clickSelects", "showSelectedlegendfill", + "group") + expect_identical(sort(names(common)), sort(expected.cols)) +}) + +test_that("common chunk does not contain NA", { + not.missing <- !is.na(common) + expect_true(all(not.missing)) +}) + +test_that("bars render without time", { + at.mat <- bar.attributes(info$html) + num.vec <- as.numeric(at.mat[c("x", "width", "y", "height"), ]) + expect_true(0 < ncol(at.mat)) + expect_true(all(is.finite(num.vec))) +}) + +with.time <- no.time +with.time$time <- list(variable="year", ms=3000) +info <- animint2HTML(with.time) + +test_that("bars render with time", { + at.mat <- bar.attributes(info$html) + num.vec <- as.numeric(at.mat[c("x", "width", "y", "height"), ]) + expect_true(0 < ncol(at.mat)) + expect_true(all(is.finite(num.vec))) +}) diff --git a/tests/testthat/test-renderer1-axis-angle-rotate.R b/tests/testthat/test-renderer1-axis-angle-rotate.R new file mode 100644 index 000000000..dc180386b --- /dev/null +++ b/tests/testthat/test-renderer1-axis-angle-rotate.R @@ -0,0 +1,93 @@ +acontext("axis angle rotate") + +ss <- data.frame(State=paste("some long text", c("CA", "NY")), + Prop.Inv=c(0, 1), + Year=c(1984, 2015)) +fg <- ggplot() + + geom_point(aes(x=State, y=Prop.Inv, showSelected=Year), data=ss) + + xlab("STATE SOME REALLY REALLY LONG TEXT THAT MAY OVERLAP TICKS")+ + theme_animint(width=600, height=400) +sg <- ggplot() + + stat_summary(data=ss, aes(Year, Year, clickSelects=Year), + fun.y=length, geom="bar") +## This getTicks function is only used in this file. +getTicks <- function(html, p.name){ + xp <- sprintf( + '//svg[@id="plot_%s"]//g[contains(@class, "xaxis")]//text', p.name) + nodes <- getNodeSet(html, xp) + stopifnot(length(nodes) > 0) + sapply(nodes, xmlAttrs) +} +## This expect_ function is only used in this file, and it depends on +## a viz with plot names "rotated" and "not" +expect_rotate_anchor <- function(info, rotate, anchor){ + not <- getTicks(info$html, 'not') + expect_match(not["style", ], "text-anchor: middle", fixed=TRUE) + expect_match(not["transform", ], "rotate(0", fixed=TRUE) + rotated <- getTicks(info$html, 'rotated') + expect_match(rotated["style", ], paste("text-anchor:", anchor), fixed=TRUE) + expect_match(rotated["transform", ], paste0("rotate(", rotate), fixed=TRUE) + # http://stackoverflow.com/questions/442404/retrieve-the-position-x-y-of-an-html-element + tick_box <- remDr$executeScript('return document.getElementsByClassName("xaxis")[0].firstChild.getBoundingClientRect()') + title_box <- remDr$executeScript('return document.getElementsByClassName("xtitle")[0].getBoundingClientRect()') + expect_true(title_box$top >= tick_box$bottom) +} +test_that('no axis rotation is fine', { + map <- + list(rotated=fg, + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "0", "middle") +}) + +test_that('axis.text.x=element_text(angle=90) means transform="rotate(-90)"', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(angle=90)), + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "-90", "end") +}) + +test_that('axis.text.x=element_text(angle=70) means transform="rotate(-70)"', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(angle=70)), + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "-70", "end") +}) + +test_that('and hjust=1 means style="text-anchor: end;"', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(angle=70, hjust=1)), + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "-70", "end") +}) + +test_that('and hjust=0 means style="text-anchor: start;"', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(angle=70, hjust=0)), + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "-70", "start") +}) + +test_that('and hjust=0.5 means style="text-anchor: middle;"', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(angle=70, hjust=0.5)), + not=sg) + info <- animint2HTML(map) + expect_rotate_anchor(info, "-70", "middle") +}) + +test_that('hjust=0.75 is an error', { + map <- + list(rotated=fg+theme(axis.text.x=element_text(hjust=0.75)), + not=sg) + expect_error({ + info <- animint2dir(map) + }, "animint only supports hjust values 0, 0.5, 1") +}) + +## TODO: also test for y axis rotation. + diff --git a/tests/testthat/test-renderer1-character.R b/tests/testthat/test-renderer1-character.R new file mode 100644 index 000000000..d167130eb --- /dev/null +++ b/tests/testthat/test-renderer1-character.R @@ -0,0 +1,28 @@ +acontext("One character value") + +df <- + data.frame(numeric=1, + integer=1L, + character="character value", + factor=factor("factor value"), + stringsAsFactors=FALSE) + +viz <- + list(dots=qplot(factor, character, data=df)) + +info <- animint2HTML(viz) + +test_that("categorical variables with 1 value", { + xlab.vec <- as.character(info$plots$dots$axis$xlab) + expect_true(is.list(info$plots$dots$axis$x)) + expect_identical(xlab.vec, "factor value") + ylab.vec <- as.character(info$plots$dots$axis$ylab) + expect_true(is.list(info$plots$dots$axis$y)) + expect_identical(ylab.vec, "character value") + xticks <- getNodeSet( + info$html, "//g[contains(@class, 'xaxis')]/g[@class='tick major']") + expect_identical(sapply(xticks, xmlValue), "factor value") + yticks <- getNodeSet( + info$html, "//g[contains(@class, 'yaxis')]/g[@class='tick major']") + expect_identical(sapply(yticks, xmlValue), "character value") +}) diff --git a/tests/testthat/test-renderer1-coord.R b/tests/testthat/test-renderer1-coord.R new file mode 100644 index 000000000..b4891dea8 --- /dev/null +++ b/tests/testthat/test-renderer1-coord.R @@ -0,0 +1,46 @@ +acontext("coord") + +test_that("coord_flip works", { + data(worldPop, package="animint") + bars <- ggplot()+ + geom_bar(aes(x=subcontinent, y=population, showSelected=year), + data=worldPop, stat="identity", position="identity") + ## First test without flip. + no.flip <- animint2dir(list(bars=bars), open.browser=FALSE) + ax <- no.flip$plots$bars + expect_identical(ax$xtitle, "subcontinent") + expect_identical(ax$ytitle, "population") + ## Then test with flip. + flip <- animint2dir(list(bars=bars+coord_flip()), open.browser=FALSE) + ax <- flip$plots$bars + expect_identical(ax$ytitle, "subcontinent") + expect_identical(ax$xtitle, "population") +}) + +p <- ggplot(mtcars, aes(mpg, wt)) + + geom_point(colour='grey50', size = 4) + + geom_point(aes(colour = cyl)) + +test_that("coord_fixed with shrinking y-axis", { + ratio5 <- 5 + viz1 <- p + coord_fixed(ratio5) + info <- animint2HTML(list(plot = viz1)) + x.axes <- getNodeSet(info$html, "//g[contains(@class, 'xaxis')]") + y.axes <- getNodeSet(info$html, "//g[contains(@class, 'yaxis')]") + xdiff <- getTickDiff(x.axes[[1]]) + ydiff <- getTickDiff(y.axes[[1]], axis = "y") + diffs <- normDiffs(xdiff, ydiff, ratio5) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) +}) + +test_that("coord_fixed with shrinking x-axis", { + ratio10 <- 10 + viz2 <- p + coord_fixed(ratio10) + info <- animint2HTML(list(plot = viz2)) + x.axes <- getNodeSet(info$html, "//g[contains(@class, 'xaxis')]") + y.axes <- getNodeSet(info$html, "//g[contains(@class, 'yaxis')]") + xdiff <- getTickDiff(x.axes[[1]]) + ydiff <- getTickDiff(y.axes[[1]], axis = "y") + diffs <- normDiffs(xdiff, ydiff, ratio10) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) +}) diff --git a/tests/testthat/test-renderer1-facet-coord.R b/tests/testthat/test-renderer1-facet-coord.R new file mode 100644 index 000000000..769739bea --- /dev/null +++ b/tests/testthat/test-renderer1-facet-coord.R @@ -0,0 +1,41 @@ +acontext("facet-coord") + +p <- ggplot(mtcars, aes(mpg, wt)) + + geom_point(colour='grey50', size = 4) + + geom_point(aes(colour = cyl)) + +test_that("coord_fixed() + facet_wrap(nrow=1) with shrunk y-axis", { + ratio2 <- 2 + wrapViz <- + list(wrapPlot=p + + facet_wrap(~am) + coord_fixed(ratio2)) + info <- animint2HTML(wrapViz) + x.axes <- getNodeSet(info$html, "//g[contains(@class, 'xaxis')]") + y.axes <- getNodeSet(info$html, "//g[contains(@class, 'yaxis')]") + xdiff1 <- getTickDiff(x.axes[[1]]) + ydiff <- getTickDiff(y.axes[[1]], axis = "y") + diffs <- normDiffs(xdiff1, ydiff, ratio2) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) + xdiff2 <- getTickDiff(x.axes[[2]]) + diffs <- normDiffs(xdiff2, ydiff, ratio2) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) +}) + +test_that("coord_fixed() + facet_wrap(nrow=1) with shrunk x-axis", { + ratio10 <- 10 + wrapViz <- + list(wrapPlot=p + + facet_wrap(~am) + coord_fixed(ratio10)) + info <- animint2HTML(wrapViz) + x.axes <- getNodeSet(info$html, "//g[contains(@class, 'xaxis')]") + y.axes <- getNodeSet(info$html, "//g[contains(@class, 'yaxis')]") + xdiff1 <- getTickDiff(x.axes[[1]]) + ydiff <- getTickDiff(y.axes[[1]], axis = "y") + diffs <- normDiffs(xdiff1, ydiff, ratio10) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) + xdiff2 <- getTickDiff(x.axes[[2]]) + diffs <- normDiffs(xdiff2, ydiff, ratio10) + expect_equal(diffs[1], diffs[2], tolerance = 1, scale = 1) +}) + +# also test multiple row and/or facet_grid? diff --git a/tests/testthat/test-renderer1-facet-lines.R b/tests/testthat/test-renderer1-facet-lines.R new file mode 100644 index 000000000..a3275e640 --- /dev/null +++ b/tests/testthat/test-renderer1-facet-lines.R @@ -0,0 +1,64 @@ +acontext("facet lines") + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +TS <- function(df)data.frame(df, facet="Years") +SCATTER <- function(df)data.frame(df, facet="Fertility rate") +years <- unique(not.na[, "year", drop=FALSE]) +countries <- unique(not.na[, "country", drop=FALSE]) +wb.facets <- + list(ts=ggplot()+ + xlab("")+ + geom_tallrect(aes(xmin=year-1/2, xmax=year+1/2, + clickSelects=year), + data=TS(years), alpha=1/2)+ + theme_animint(width=1000)+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=TS(not.na), size=4, alpha=3/5)+ + geom_point(aes(year, life.expectancy, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS(not.na))+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population, + key=country), # key aesthetic for animated transitions! + data=SCATTER(not.na))+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year, + clickSelects=country, + key=country), #also use key here! + data=SCATTER(not.na))+ + scale_size_animint(breaks=10^(5:9))+ + facet_grid(.~facet, scales="free")+ + geom_text(aes(5, 85, label=paste0("year = ", year), + showSelected=year), + data=SCATTER(years)), + time=list(variable="year",ms=3000), + bar=ggplot()+ + theme_animint(height=2400)+ + geom_bar(aes(country, life.expectancy, fill=region, + showSelected=year, clickSelects=country, + key=country), + data=not.na, stat="identity", position="identity")+ + coord_flip(), + duration=list(year=1000), + first=list(year=1975, country=c("United States", "Vietnam")), + selector.types=list(country="multiple"), + title="World Bank data (multiple selection, facets)") + +remDr$setTimeout(milliseconds=60 * 1000 * 2) +info <- animint2HTML(wb.facets) + +test_that("if group is in nest_order, it is last", { + for(g in info$geoms){ + nest <- as.character(g$nest_order) + if("group" %in% nest){ + expect_match(nest[length(nest)], "group") + } + } +}) + +test_that("a is rendered for every country", { + node.set <- getNodeSet(info$html, '//g[@class="geom2_line_ts"]//path') + expect_equal(length(node.set), nrow(countries)) +}) diff --git a/tests/testthat/test-renderer1-facet-space.R b/tests/testthat/test-renderer1-facet-space.R new file mode 100644 index 000000000..5565bb5cf --- /dev/null +++ b/tests/testthat/test-renderer1-facet-space.R @@ -0,0 +1,180 @@ +acontext('facet_grid(space="free")') + +no.panels <- ggplot(mtcars, aes(mpg, wt)) + + geom_point(colour='grey50', size = 4) + + geom_point(aes(colour = cyl)) + +viz <- + list(freeBoth = no.panels + + facet_grid(.~am, space = "free", scales = "free", labeller=label_both), + freeScale = no.panels + + facet_grid(.~am, scales="free", labeller=label_both), + fixed = no.panels + + facet_grid(.~am, labeller=label_both)) + +info <- animint2HTML(viz) + +## For some reason the "space between panels" tests only work on +## travis/wercker if the rect class is "background_rect". Not +## "border_rect"! Even though they both should appear, only +## background_rect appears on travis/wercker... is this because we +## don't wait long enough before calling getHTML()? +panel.rect.xpath.tmp <- '//svg[@id="plot_%s"]//rect[@class="background_rect"]' + +test_that("some horizontal space between panels", { + for(plot.name in names(viz)){ + xpath <- sprintf(panel.rect.xpath.tmp, plot.name) + rect.list <- getNodeSet(info$html, xpath) + expect_equal(length(rect.list), 2) + first <- xmlAttrs(rect.list[[1]]) + first.left <- as.numeric(first[["x"]]) + first.right <- first.left+as.numeric(first[["width"]]) + second <- xmlAttrs(rect.list[[2]]) + second.left <- as.numeric(second[["x"]]) + second.right <- second.left+as.numeric(second[["width"]]) + expect_less_than(first.right, second.left) + ## Also make sure the xtitle is placed in the middle of the + ## plotting region. + xpath <- sprintf('//svg[@id="plot_%s"]//text[@class="xtitle"]', plot.name) + text.list <- getNodeSet(info$html, xpath) + expect_equal(length(text.list), 1) + transform.str <- xmlAttrs(text.list[[1]])[["transform"]] + transform.mat <- str_match_perl(transform.str, translatePattern) + xtitle.x.computed <- as.numeric(transform.mat[, "x"]) + xtitle.x.expected <- (first.left + second.right)/2 + expect_equal(xtitle.x.computed, xtitle.x.expected) + } +}) + +test_that("each plot has two x axes and 1 y axis", { + for(plot.name in names(viz)){ + svg.xpath <- sprintf("//svg[@id='plot_%s']", plot.name) + x.xpath <- paste0(svg.xpath, "//g[contains(@class, 'xaxis')]") + x.axes <- getNodeSet(info$html, x.xpath) + y.xpath <- paste0(svg.xpath, "//g[contains(@class, 'yaxis')]") + y.axes <- getNodeSet(info$html, y.xpath) + expect_equal(length(y.axes), 1) + } +}) + +test_that("top strips present in each plot", { + for(plot.name in names(viz)){ + xpath <- sprintf( + "//svg[@id='plot_%s']//g[@class='topStrip']//text", plot.name) + strip.text <- getNodeSet(info$html, xpath) + expect_equal(length(strip.text), 2) + text.values <- sapply(strip.text, xmlValue) + expect_identical(text.values, c("am: 0", "am: 1")) + } +}) + +test_that("pixels between 15 and 20 is constant or variable", { + ## scale="fixed" means the distance between ticks 15 and 20 should + ## be the same across the 2 panels. + x.axes <- getNodeSet( + info$html, "//svg[@id='plot_fixed']//g[contains(@class, 'xaxis')]") + expect_equal(length(x.axes), 2) + xdiff <- lapply(x.axes, getTickDiff) + expect_true(both.equal(xdiff)) + ## scale="free" means the distance between ticks 15 and 20 should + ## be different across the 2 panels. + x.axes <- getNodeSet( + info$html, "//svg[@id='plot_freeScale']//g[contains(@class, 'xaxis')]") + expect_equal(length(x.axes), 2) + xdiff <- lapply(x.axes, getTickDiff) + expect_true(!both.equal(xdiff)) + ## scale="free" and space="free" means the distance between ticks 15 + ## and 20 should be the same across the 2 panels. + x.axes <- getNodeSet( + info$html, "//svg[@id='plot_freeBoth']//g[contains(@class, 'xaxis')]") + expect_equal(length(x.axes), 2) + xdiff <- lapply(x.axes, getTickDiff) + expect_true(both.equal(xdiff)) +}) + +test_that("width_proportion is constant or variable", { + expect_true(both.equal(info$plots$fixed$layout$width_proportion)) + expect_true(both.equal(info$plots$freeScale$layout$width_proportion)) + expect_true(!both.equal(info$plots$freeBoth$layout$width_proportion)) +}) + +no.panels <- ggplot(mtcars, aes(wt, mpg)) + + geom_point(colour='grey50', size = 4) + + geom_point(aes(colour = cyl)) + +viz <- + list(freeBoth = no.panels + + facet_grid(am ~ ., space = "free", scales = "free", + labeller=label_both), + freeScale = no.panels + + facet_grid(am ~ ., scales="free", labeller=label_both), + fixed = no.panels + + facet_grid(am ~ ., labeller=label_both)) + +info <- animint2HTML(viz) + +test_that("some vertical space between panels", { + for(plot.name in names(viz)){ + xpath <- sprintf(panel.rect.xpath.tmp, plot.name) + rect.list <- getNodeSet(info$html, xpath) + expect_equal(length(rect.list), 2) + first <- xmlAttrs(rect.list[[1]]) + first.top <- as.numeric(first[["y"]]) + first.bottom <- first.top+as.numeric(first[["height"]]) + second <- xmlAttrs(rect.list[[2]]) + second.top <- as.numeric(second[["y"]]) + second.bottom <- second.top+as.numeric(second[["height"]]) + expect_less_than(first.bottom, second.top) + ## Also check that ytitle is placed in the middle of the plotting + ## region. + xpath <- sprintf('//svg[@id="plot_%s"]//text[@class="ytitle"]', plot.name) + text.list <- getNodeSet(info$html, xpath) + expect_equal(length(text.list), 1) + transform.str <- xmlAttrs(text.list[[1]])[["transform"]] + transform.mat <- str_match_perl(transform.str, translatePattern) + ytitle.y.computed <- as.numeric(transform.mat[, "y"]) + ytitle.y.expected <- (first.top + second.bottom)/2 + expect_equal(ytitle.y.computed, ytitle.y.expected) + } +}) + +test_that("right strips present in each plot", { + for(plot.name in names(viz)){ + xpath <- sprintf( + "//svg[@id='plot_%s']//g[@class='rightStrip']//text", plot.name) + strip.text <- getNodeSet(info$html, xpath) + expect_equal(length(strip.text), 2) + text.values <- sapply(strip.text, xmlValue) + expect_identical(text.values, c("am: 0", "am: 1")) + } +}) + +test_that("y pixels between 15 and 20 is constant or variable", { + ## scale="fixed" means the distance between ticks 15 and 20 should + ## be the same across the 2 panels. + y.axes <- getNodeSet( + info$html, "//svg[@id='plot_fixed']//g[contains(@class, 'yaxis')]") + expect_equal(length(y.axes), 2) + ydiff <- lapply(y.axes, getTickDiff, axis="y") + expect_true(both.equal(ydiff)) + ## scale="free" means the distance between ticks 15 and 20 should + ## be different across the 2 panels. + y.axes <- getNodeSet( + info$html, "//svg[@id='plot_freeScale']//g[contains(@class, 'yaxis')]") + expect_equal(length(y.axes), 2) + ydiff <- lapply(y.axes, getTickDiff, axis="y") + expect_true(!both.equal(ydiff)) + ## scale="free" and space="free" means the distance between ticks 15 + ## and 20 should be the same across the 2 panels. + y.axes <- getNodeSet( + info$html, "//svg[@id='plot_freeBoth']//g[contains(@class, 'yaxis')]") + expect_equal(length(y.axes), 2) + ydiff <- lapply(y.axes, getTickDiff, axis="y") + expect_true(both.equal(ydiff)) +}) + +test_that("height_proportion is constant or variable", { + expect_true(both.equal(info$plots$fixed$layout$height_proportion)) + expect_true(both.equal(info$plots$freeScale$layout$height_proportion)) + expect_true(!both.equal(info$plots$freeBoth$layout$height_proportion)) +}) diff --git a/tests/testthat/test-renderer1-facet-trivial.R b/tests/testthat/test-renderer1-facet-trivial.R new file mode 100644 index 000000000..c93b6a8c9 --- /dev/null +++ b/tests/testthat/test-renderer1-facet-trivial.R @@ -0,0 +1,42 @@ +acontext("facet-trivial") + +miris <- iris +miris$kingdom <- "plantae" + +gg <- ggplot()+ + geom_point(aes(Petal.Length, Petal.Width), + data=miris) + +viz <- + list(kk=gg+facet_grid(kingdom ~ kingdom), + kx=gg+facet_grid(kingdom ~ .), + xk=gg+facet_grid(. ~ kingdom), + kS=gg+facet_grid(kingdom ~ Species), + Sk=gg+facet_grid(Species ~ kingdom)) + +test_that("facet_grid(1 row and/or 1 column) is fine", { + info <- animint2HTML(viz) + expect_axes <- function(plot.name, expected.x, expected.y){ + svg.xpath <- sprintf("//svg[@id='plot_%s']", plot.name) + x.xpath <- paste0(svg.xpath, "//g[contains(@class, 'xaxis')]") + x.axes <- getNodeSet(info$html, x.xpath) + expect_equal(length(x.axes), expected.x) + y.xpath <- paste0(svg.xpath, "//g[contains(@class, 'yaxis')]") + y.axes <- getNodeSet(info$html, y.xpath) + expect_equal(length(y.axes), expected.y) + xtitle.xpath <- paste0(svg.xpath, "//text[@class='xtitle']") + xtitle.nodes <- getNodeSet(info$html, xtitle.xpath) + expect_equal(length(xtitle.nodes), 1) + xtitle.node <- xtitle.nodes[[1]] + xtitle.attrs <- xmlAttrs(xtitle.node) + trans.mat <- str_match_perl(xtitle.attrs[["transform"]], translatePattern) + trans.y <- as.numeric(trans.mat[, "y"]) + ## 400 is the default animint plot height. + expect_less_than(trans.y, 400) + } + expect_axes("kk", 1, 1) + expect_axes("kx", 1, 1) + expect_axes("xk", 1, 1) + expect_axes("kS", 3, 1) + expect_axes("Sk", 1, 3) +}) diff --git a/tests/testthat/test-renderer1-facets-strips.R b/tests/testthat/test-renderer1-facets-strips.R new file mode 100644 index 000000000..5db59f6b8 --- /dev/null +++ b/tests/testthat/test-renderer1-facets-strips.R @@ -0,0 +1,48 @@ +acontext("facet-strips") + +p <- ggplot(mtcars, aes(mpg, wt)) + + geom_point(colour='grey50', size = 4) + + geom_point(aes(colour = cyl)) + +gridViz <- + list(gridPlot=p + + facet_grid(cyl~am, labeller = label_both)) + +wrapViz <- + list(wrapPlot=p + + facet_wrap(~cyl+am)) + +test_that("facet_grid() strip labels are placed correctly", { + info <- animint2HTML(gridViz) + top <- getNodeSet(info$html, "//g[@class='topStrip']") + # there should one be one 'top_strip' group (their children contain the vital info) + kids <- xmlChildren(top[[1]]) + labs <- as.character(sapply(kids, xmlValue)) + expect_equal(labs[labs != ""], c("am: 0", "am: 1")) + attrs <- lapply(kids, xmlAttrs) + styles <- as.character(sapply(attrs, "[[", "style")) + # remove leading and trailing white-space + styles <- sub("^\\s+|\\s+$", "", styles) + expect_equal(styles, rep("text-anchor: middle; font-size: 11px;", 2)) + transforms <- as.character(sapply(attrs, "[[", "transform")) + # there should one be one 'right_strip' group (their children contain the vital info) + right <- getNodeSet(info$html, "//g[@class='rightStrip']") + kids <- xmlChildren(right[[1]]) + labs <- as.character(sapply(kids, xmlValue)) + expect_equal(labs[labs != ""], c("cyl: 4", "cyl: 6", "cyl: 8")) + attrs <- lapply(kids, xmlAttrs) + styles <- as.character(sapply(attrs, "[[", "style")) + # remove leading and trailing white-space + styles <- sub("^\\s+|\\s+$", "", styles) + expect_equal(styles, rep("text-anchor: middle; font-size: 11px;", 3)) + transforms <- as.character(sapply(attrs, "[[", "transform")) +}) + +test_that("facet_wrap() strip labels are placed correctly", { + info <- animint2HTML(wrapViz) + top <- getNodeSet(info$html, "//g[@class='topStrip']") + kids <- xmlChildren(top[[1]]) + labs <- as.character(sapply(kids, xmlValue)) + expect_equal(labs, c("4, 0", "4, 1", "6, 0", + "6, 1", "8, 0", "8, 1")) +}) diff --git a/tests/testthat/test-renderer1-geom-abline.R b/tests/testthat/test-renderer1-geom-abline.R new file mode 100644 index 000000000..14a995c75 --- /dev/null +++ b/tests/testthat/test-renderer1-geom-abline.R @@ -0,0 +1,31 @@ +acontext("geom_abline") + +p <- qplot(wt, mpg, data = mtcars) + + geom_abline(intercept = c(20, 5), slope = c(1,4)) + + facet_wrap(~cyl) +info <- animint2HTML(list(p = p)) + +tsv.file <- file.path("animint-htmltest", "geom2_abline_p_chunk1.tsv") +tsv.data <- read.table(tsv.file, header=TRUE, comment.char = "") + +test_that("columns of abline tsv", { + expected.names <- sort(c("PANEL", "x", "xend", "y", "yend")) + computed.names <- sort(names(tsv.data)) + expect_identical(computed.names, expected.names) +}) + +ablines <- getNodeSet(info$html, '//svg//g[@class="geom2_abline_p"]//line') +attr_ablines <- sapply(ablines, xmlAttrs) +start_ends <- attr_ablines[c("x1", "x2", "y1", "y2"), ] + +test_that("All six ablines render", { + expect_equal(length(ablines), 6) +}) + +test_that("Start and end of ablines are not NA", { + expect_true(all(start_ends != "NaN")) +}) + +test_that("lines do not exceed ranges of plot", { + expect_true(all(as.numeric(start_ends) >= 0)) +}) diff --git a/tests/testthat/test-renderer1-global-variables.R b/tests/testthat/test-renderer1-global-variables.R new file mode 100644 index 000000000..fc13a6eb7 --- /dev/null +++ b/tests/testthat/test-renderer1-global-variables.R @@ -0,0 +1,36 @@ +acontext("global variables") + +viz <- list(scatter=ggplot()+ + geom_point(aes(y=Petal.Length, x=Sepal.Length, + color=Species), + data=iris)) + +myScript <- 'myArray = []; +for(var b in window) { + if(window.hasOwnProperty(b)) {myArray.push(b);} +} +return myArray;' + +getVariables <- function(){ + vars <- remDr$executeScript(myScript)[[1]] + # ignore the "plot" variable -- + # https://github.com/tdhock/animint/pull/62#issuecomment-100008532 + # also ignore jQuery1238915281937 variable: + grep("plot|jQuery", vars, value=TRUE, invert=TRUE) +} + +test_that("animint.js only defines 1 object, called animint", { + info <- animint2HTML(viz) + animint.vars <- getVariables() + index.file <- file.path("animint-htmltest", "index.html") + html.lines <- readLines(index.file) + html.without <- html.lines[!grepl("animint.js", html.lines)] + cat(html.without, file=index.file, sep="\n") + # Note: It's OK for the webdriver to spit out + # ReferenceError: Can't find variable: animint + # since we've removed the animint.js script + remDr$refresh() + without.vars <- getVariables() + diff.vars <- animint.vars[!animint.vars %in% without.vars] + expect_identical(diff.vars, "animint") +}) diff --git a/tests/testthat/test-renderer1-hline-text-anchor.R b/tests/testthat/test-renderer1-hline-text-anchor.R new file mode 100644 index 000000000..b5de78baf --- /dev/null +++ b/tests/testthat/test-renderer1-hline-text-anchor.R @@ -0,0 +1,256 @@ +acontext("hjust text anchor") + +# demonstration of gradient descent algorithm from animation package +grad.desc <- function( + FUN = function(x, y) x^2 + 2 * y^2, rg = c(-3, -3, 3, 3), init = c(-3, 3), + gamma = 0.05, tol = 0.001, gr = NULL, len = 50, nmax = 50) { + x <- seq(rg[1], rg[3], length = len) + y <- seq(rg[2], rg[4], length = len) + contour <- expand.grid(x = x, y = y) + contour$z <- as.vector(outer(x, y, FUN)) + + nms = names(formals(FUN)) + grad = if (is.null(gr)) { + deriv(as.expression(body(FUN)), nms, function.arg = TRUE) + } else { + function(...) { + res = FUN(...) + attr(res, 'gradient') = matrix(gr(...), nrow = 1, ncol = 2) + res + } + } + + xy <- init + newxy <- xy - gamma * attr(grad(xy[1], xy[2]), 'gradient') + z <- FUN(newxy[1], newxy[2]) + gap <- abs(z - FUN(xy[1], xy[2])) + i <- 1 + while (gap > tol && i <= nmax) { + xy <- rbind(xy, newxy[i, ]) + newxy <- rbind(newxy, xy[i + 1, ] - gamma * attr(grad(xy[i + 1, 1], xy[i + 1, 2]), 'gradient')) + z <- c(z, FUN(newxy[i + 1, 1], newxy[i + 1, 2])) + gap <- abs(z[i + 1] - FUN(xy[i + 1, 1], xy[i + 1, 2])) + i <- i + 1 + if (i > nmax) warning('Maximum number of iterations reached!') + } + objective <- data.frame(iteration = 1:i, x = xy[, 1], y = xy[, 2], z = z) + invisible(list(contour = contour, objective = objective)) +} + +dat <- grad.desc() +contour <- dat$contour +objective <- dat$objective +objective <- plyr::ldply(objective$iteration, function(i) { + df <- subset(objective, iteration <= i) + cbind(df, iteration2 = i) +}) +objective2 <- subset(objective, iteration == iteration2) + +grad.desc.viz <- function(hjust) { + objective2$hjust <- hjust + + contour.plot <- ggplot() + + geom_contour(data = contour, aes(x = x, y = y, z = z, colour = ..level..), size = .5) + + scale_colour_continuous(name = "z value") + + geom_path(data = objective, aes(x = x, y = y, showSelected = iteration2), + colour = "red", size = 1) + + geom_point(data = objective, aes(x = x, y = y, showSelected = iteration2), colour = "green", + size = 2) + + geom_text(data = objective2, aes(x = x, y = y - 0.2, showSelected = iteration2, label = round(z, 2))) + + scale_x_continuous(expand = c(0, 0)) + + scale_y_continuous(expand = c(0, 0)) + + ggtitle("contour of function value") + + theme_animint(width = 600, height = 600) + + objective.plot <- ggplot() + + geom_line(data = objective2, aes(x = iteration, y = z), colour = "red") + + geom_point(data = objective2, aes(x = iteration, y = z), colour = "red") + + geom_tallrect(data = objective2, aes(xmin = iteration - 1 / 2, xmax = iteration + 1 / 2, + clickSelects = iteration2), alpha = .3) + + geom_text(data = objective2, aes(x = iteration, y = z + 0.3, showSelected = iteration2, + label = iteration), hjust = hjust) + + ggtitle("objective value vs. iteration") + + theme_animint(width = 600, height = 600) + + viz <- list(contour = contour.plot, objective = objective.plot, + time = list(variable = "iteration2", ms = 2000), + title = "Demonstration of Gradient Descent Algorithm") +} + +viz <- grad.desc.viz(hjust = 0) +info <- animint2HTML(viz) + +test_that("unspecified hjust means text-anchor: middle (other hjust=0)", { + style.value <- + getStyleValue(info$html, '//g[@class="geom4_text_contour"]//text', + "text-anchor") + expect_match(style.value, "middle") +}) + +test_that('geom_text(hjust=0) => ', { + style.value <- + getStyleValue(info$html, '//g[@class="geom8_text_objective"]//text', + "text-anchor") + expect_match(style.value, "start") +}) + +viz <- grad.desc.viz(hjust = 1) +info <- animint2HTML(viz) + +test_that("unspecified hjust means text-anchor: middle (other hjust=1)", { + style.value <- + getStyleValue(info$html, '//g[@class="geom4_text_contour"]//text', + "text-anchor") + expect_match(style.value, "middle") +}) + +test_that('geom_text(hjust=1) => ', { + style.value <- + getStyleValue(info$html, '//g[@class="geom8_text_objective"]//text', + "text-anchor") + expect_match(style.value, "end") +}) + +viz <- grad.desc.viz(hjust = 0.5) +info <- animint2HTML(viz) + +test_that("unspecified hjust means text-anchor: middle (other hjust=0.5)", { + style.value <- + getStyleValue(info$html, '//g[@class="geom4_text_contour"]//text', + "text-anchor") + expect_match(style.value, "middle") +}) + +test_that('geom_text(hjust=0.5) => ', { + style.value <- + getStyleValue(info$html, '//g[@class="geom8_text_objective"]//text', + "text-anchor") + expect_match(style.value, "middle") +}) + +test_that('geom_text(hjust=other) => unsupported value error', { + viz <- grad.desc.viz(hjust = 0.8) + expect_error(animint2HTML(viz), "animint only supports hjust values 0, 0.5, 1") +}) + +hjust.df <- data.frame( + hjust=c(0,0.5,1), + anchor=c("start", "middle", "end"), + stringsAsFactors=FALSE) +hjust.df$label <- paste0("hjust=",hjust.df$hjust) +rownames(hjust.df) <- hjust.df$label +viz <- list( + text=ggplot()+ + geom_text(aes(hjust, hjust, label=label, hjust=hjust), + data=hjust.df) + ) + +test_that("aes(hjust) works fine for 0, 0.5, 1", { + info <- animint2HTML(viz) + xpath <- '//g[@class="geom1_text_text"]//text' + text.list <- getNodeSet(info$html, xpath) + computed.anchor <- getStyleValue(info$html, xpath, "text-anchor") + label.vec <- sapply(text.list, xmlValue) + expected.anchor <- hjust.df[label.vec, "anchor"] + expect_identical(computed.anchor, expected.anchor) +}) + +hjust.df <- data.frame(hjust=c(0,0.5,1,1.5), + anchor=c("start", "middle", "end", "unknown")) +hjust.df$label <- paste0("hjust=",hjust.df$hjust) +rownames(hjust.df) <- hjust.df$label +viz <- list( + text=ggplot()+ + geom_text(aes(hjust, hjust, label=label, hjust=hjust), + data=hjust.df) + ) + +test_that("error if aes(hjust) not in 0, 0.5, 1", { + expect_error({ + info <- animint2HTML(viz) + }, "animint only supports hjust values 0, 0.5, 1") +}) + +vjust.df <- data.frame(vjust=c(0,0.5,1)) +vjust.df$label <- paste0("vjust=",vjust.df$vjust) +rownames(vjust.df) <- vjust.df$label +viz <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=label, vjust=vjust), + data=vjust.df) + ) + +test_that("aes(vjust!=0) raises warning", { + expect_warning({ + animint2HTML(viz) + }, "animint only supports vjust=0") +}) + +viz <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=0, vjust=0), + data=vjust.df) + ) + +test_that("aes(vjust=0) does not raise warning", { + expect_no_warning({ + animint2HTML(viz) + }) +}) + +viz <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label="no vjust"), + data=vjust.df) + ) + +test_that("unspecified vjust does not raise warning", { + expect_no_warning({ + animint2HTML(viz) + NULL + }) +}) + +viz.1 <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=1), + vjust=1, + data=vjust.df) + ) +viz.0.5 <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=0), + vjust=0.5, + data=vjust.df) + ) +viz.0.7 <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=0.7), + vjust=0.7, + data=vjust.df) + ) + +test_that("geom_text(vjust!=0) raises warning", { + expect_warning({ + animint2HTML(viz.1) + }, "animint only supports vjust=0") + expect_warning({ + animint2HTML(viz.0.5) + }, "animint only supports vjust=0") + expect_warning({ + animint2HTML(viz.0.7) + }, "animint only supports vjust=0") +}) + +viz <- list( + text=ggplot()+ + geom_text(aes(vjust, vjust, label=0), + vjust=0, + data=vjust.df) + ) + +test_that("geom_text(vjust=0) does not raise warning", { + expect_no_warning({ + animint2HTML(viz) + }) +}) diff --git a/tests/testthat/test-renderer1-hline.R b/tests/testthat/test-renderer1-hline.R new file mode 100644 index 000000000..1df18ced5 --- /dev/null +++ b/tests/testthat/test-renderer1-hline.R @@ -0,0 +1,36 @@ +library(testthat) +acontext("hline") + +n.rows <- 100 +df <- data.frame(x=rnorm(n.rows), y=rnorm(n.rows)) +sc <- ggplot()+ + geom_point(aes(x, y), data=df) +two <- data.frame(x=c(0, 1)) + +viz <- + list(one=sc+ + geom_hline(yintercept=0)+ + geom_vline(xintercept=0), + + two=sc+ + geom_hline(aes(yintercept=x), data=two)+ + geom_vline(aes(xintercept=x), data=two)) + +info <- animint2HTML(viz) + +line.class.vec <- + c("geom2_hline_one"=1, "geom3_vline_one"=1, + "geom5_hline_two"=2, "geom6_vline_two"=2) + +test_that("hlines and vlines appear", { + for(line.class in names(line.class.vec)){ + xpath <- sprintf('//g[@class="%s"]//line', line.class) + line.list <- getNodeSet(info$html, xpath) + expected.length <- line.class.vec[[line.class]] + expect_equal(length(line.list), expected.length) + attr.mat <- sapply(line.list, xmlAttrs) + xy.mat <- attr.mat[c("x1", "x2", "y1", "y2"), ] + xy.vec <- as.numeric(xy.mat) + expect_true(all(is.finite(xy.vec))) + } +}) diff --git a/tests/testthat/test-renderer1-href.R b/tests/testthat/test-renderer1-href.R new file mode 100644 index 000000000..d650b4468 --- /dev/null +++ b/tests/testthat/test-renderer1-href.R @@ -0,0 +1,70 @@ +acontext("aes(href)") + +color.df <- + data.frame(x=c(1, 1, 2, 1, 2), + university=c("Stanford", + rep("UC Berkeley", 2), + rep("Oregon State", 2)), + color=c("red", "blue", "gold", "orange", "black")) +university.df <- as.data.frame(table(color.df$university)) +names(university.df) <- c("university", "colors") + +test_that("clickSelects and href is an error", { + viz <- + list(colors=ggplot()+ + geom_point(aes(x, university, color=color, + clickSelects=university, href=color), + data=color.df)+ + scale_color_identity()) + expect_error({ + animint2dir(viz, open.browser=FALSE) + }, "aes(clickSelects) can not be used with aes(href)", fixed=TRUE) +}) + +test_that("aes(href) becomes ", { + viz <- + list(universities=ggplot()+ + geom_bar(aes(university, colors, + id=university, + clickSelects=university), + data=university.df, stat="identity"), + colors=ggplot()+ + geom_point(aes(x, university, color=color, + showSelected=university, + href=paste0("http://en.wikipedia.org/wiki/", color)), + data=color.df, size=5)+ + scale_color_identity(), + first=list(university="UC Berkeley")) + info <- animint2HTML(viz) + expect_links(info$html, + c("http://en.wikipedia.org/wiki/blue", + "http://en.wikipedia.org/wiki/gold")) +}) + +test_that("clicking updates href", { + stanford.html <- clickHTML("id"="Stanford") + expect_links(stanford.html, "http://en.wikipedia.org/wiki/red") +}) + +test_that("clicking updates href (again)", { + osu.html <- clickHTML("id"="Oregon State") + expect_links(osu.html, + c("http://en.wikipedia.org/wiki/orange", + "http://en.wikipedia.org/wiki/black")) +}) + +test_that("aes(href) works with geom_polygon", { + USpolygons <- map_data("state") + USpolygons$href <- paste0("https://en.wikipedia.org/wiki/", USpolygons$region) + viz.href <- list( + map=ggplot()+ + ggtitle("click a state to read its Wikipedia page")+ + coord_equal()+ + geom_polygon( + aes(x=long, y=lat, group=group, href=href), + data=USpolygons, fill="black", colour="grey") + ) + info <- animint2HTML(viz.href) + (expected.vec <- unique(USpolygons$href)) + expect_links(info$html, expected.vec) +}) diff --git a/tests/testthat/test-renderer1-html-title.R b/tests/testthat/test-renderer1-html-title.R new file mode 100644 index 000000000..3507a861b --- /dev/null +++ b/tests/testthat/test-renderer1-html-title.R @@ -0,0 +1,19 @@ +acontext("HTML page title") + +iris$id <- 1:nrow(iris) +viz <- + list(petal=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, fill=Species, + clickSelects=id), data=iris), + sepal=ggplot()+ + geom_point(aes(Sepal.Width, Sepal.Length, fill=Species, + clickSelects=id), data=iris), + title="Iris data") + +test_that("title option converted to ", { + info <- animint2HTML(viz) + nodes <- getNodeSet(info$html, "//title") + generated.title <- xmlValue(nodes[[1]]) + expect_match(generated.title, "Iris data") +}) + diff --git a/tests/testthat/test-renderer1-interactive-facets.R b/tests/testthat/test-renderer1-interactive-facets.R new file mode 100644 index 000000000..55b922f49 --- /dev/null +++ b/tests/testthat/test-renderer1-interactive-facets.R @@ -0,0 +1,95 @@ +acontext("Interactive facets") + +## Example: 4 plots, 2 selectors. +data(intreg, package = "animint") +signal.colors <- c(estimate="#0adb0a", latent="#0098ef") +breakpoint.colors <- c("1breakpoint"="#ff7d7d", "0breakpoints"='#f6f4bf') +model.linetypes <- c(margin="dotted",limit="dashed",regression="solid") +intreg$annotations$logratio <- max(intreg$sig$log) + +mmir.facets <- + list(signal=ggplot()+ + theme_animint(height=300, width=800)+ + scale_x_continuous("position on chromosome (mega base pairs)", + breaks=c(100,200))+ + geom_tallrect(aes(xmin=first.base/1e6, xmax=last.base/1e6, + fill=annotation, + showSelected=signal), + data=intreg$annotations)+ + scale_fill_manual(values=breakpoint.colors,guide="none")+ + geom_text(aes((first.base+last.base)/2e6, logratio+1/8, + label=annotation, + showSelected=signal), + data=intreg$annotations)+ + geom_blank(aes(first.base/1e6, logratio+2/8), + data=intreg$annotations)+ + geom_point(aes(base/1e6, logratio, + showSelected=signal), + data=intreg$signals)+ + geom_segment(aes(first.base/1e6, mean, xend=last.base/1e6, yend=mean, + showSelected=signal, + showSelected2=segments), + data=intreg$segments, + colour=signal.colors[["estimate"]])+ + geom_vline(aes(xintercept=base/1e6, + showSelected=signal, + showSelected2=segments), + colour=signal.colors[["estimate"]], + linetype="dashed", + data=intreg$breaks), + penalty=ggplot()+ + geom_tallrect(aes(xmin=min.L, xmax=max.L, + showSelected=signal, + clickSelects=segments), + data=data.frame(intreg$selection, what="segments"), + alpha=1/2)+ + ylab("")+ + theme_animint(height=500, width=800)+ + geom_segment(aes(min.L, feature, xend=max.L, yend=feature, + clickSelects=signal), + size=5, + data=data.frame(intreg$intervals, what="regression"))+ + geom_segment(aes(min.L, min.feature, xend=max.L, yend=max.feature, + linetype=line), + colour="red", + size=3, + data=data.frame(intreg$model, what="regression"))+ + scale_linetype_manual(values=model.linetypes)+ + geom_segment(aes(min.L, cost, xend=max.L, yend=cost, + showSelected=signal), + data=data.frame(intreg$selection, what="error"))+ + geom_segment(aes(min.L, segments, xend=max.L, yend=segments, + showSelected=signal), + data=data.frame(intreg$selection, what="segments"))+ + xlab("penalty value $L=f(x)$")+ # TODO: mathjax. + facet_grid(what~.,scales="free")) + +info <- animint2HTML(mmir.facets) + +getTransform <- function(tick)xmlAttrs(tick)[["transform"]] + +test_that("y axes align in facet_grid(variable~.)", { + g.list <- getNodeSet( + info$html, "//svg[@id='plot_penalty']//g[contains(@class, 'yaxis')]") + expect_equal(length(g.list), 3) + transform.txt <- sapply(g.list, getTransform) + x.txt <- sub("translate[(](.*?),.*", "\\1", transform.txt) + for(x.val in x.txt){ + expect_equal(x.val, x.txt[[1]]) + } +}) + +test_that("red lines are only drawn in panel 2", { + panelPath <- function(panel.i){ + paste0("//svg[@id='plot_penalty']", + "//g[@class='geom9_segment_penalty']", + "//g[@class='PANEL", panel.i, "']", + "//line") + } + PANEL1lines <- getNodeSet(info$html, panelPath(1)) + expect_equal(length(PANEL1lines), 0) + PANEL2lines <- getNodeSet(info$html, panelPath(2)) + expect_equal(length(PANEL2lines), 6) + PANEL3lines <- getNodeSet(info$html, panelPath(3)) + expect_equal(length(PANEL3lines), 0) +}) diff --git a/tests/testthat/test-renderer1-knit-print.R b/tests/testthat/test-renderer1-knit-print.R new file mode 100644 index 000000000..dd8ef15ff --- /dev/null +++ b/tests/testthat/test-renderer1-knit-print.R @@ -0,0 +1,158 @@ +acontext("knitting multiple animint plots in a single Rmd") + +knitr::knit_meta() #clear knitr 'metadata' +Rmd.file <- "~/R/animint/inst/examples/test_knit_print.Rmd" +Rmd.file <- system.file("examples", "test_knit_print.Rmd", + package = "animint") +index.file <- file.path("animint-htmltest", "index.Rmd") + +file.copy(Rmd.file, index.file, overwrite=TRUE) +## https://github.com/rstudio/rmarkdown/issues/587#issuecomment-168437646 +## @yihui says "Do not use the output_dir argument of render()" +rmarkdown::render(index.file) +remDr$refresh() +Sys.sleep(1) +html <- getHTML() + +test_that("knit_print.animint renders five x axis titles", { + nodes <- getNodeSet(html, "//text[@class='xtitle']") + value.vec <- sapply(nodes, xmlValue) + expected.vec <- + c("first plot with color legend", + "second plot with color legend", + "non-interactive plot", + "position", + "segments") + expect_identical(value.vec, expected.vec) +}) + +test_that("segments and breakpoints are rendered", { + seg.list <- getNodeSet(html, "//g[@class='geom3_segment_signal']//line") + expect_equal(length(seg.list), 6) + break.list <- getNodeSet(html, "//g[@class='geom4_vline_signal']//line") + expect_equal(length(break.list), 5) +}) + +test_that("svg id property is unique", { + svg.list <- getNodeSet(html, "//svg") + attr.mat <- sapply(svg.list, xmlAttrs) + id.counts <- table(attr.mat["id",]) + expect_true(all(id.counts==1)) +}) + +all.list <- getNodeSet(html, "//*") +id.na.vec <- sapply(all.list, function(e){ + attr.vec.or.null <- xmlAttrs(e) + if("id" %in% names(attr.vec.or.null)){ + attr.vec.or.null[["id"]] + }else{ + NA + } +}) +## In HTML, all values are case-insensitive +## http://www.w3schools.com/tags/att_global_id.asp +lower.id.vec <- tolower(id.na.vec) +id.counts <- table(lower.id.vec) +(not.unique <- id.counts[1 < id.counts]) +test_that("id property is unique over entire page", { + expect_equal(length(not.unique), 0) +}) + +test_that("id must contain at least one character", { + expect_true(all(0 < nchar(names(id.counts)))) +}) + +test_that("id must not contain any space characters", { + expect_false(any(grepl(" ", names(id.counts)))) +}) + +## function to extract all circles from an HTML page +get_circles <- function(html=getHTML()) { + plot.names <- c("plot1top", "plot1bottom") + count.vec <- c() + for(i in seq_along(plot.names)){ + xpath <- sprintf("//div[@id='%s']//circle[@class='geom']", plot.names[[i]]) + circle.list <- getNodeSet(html, xpath) + count.vec[[i]] <- length(circle.list) + } + count.vec +} + +get_elements <- function(id){ + ##print("before div") + div <- remDr$findElement("id", id) + ## For debugging a NoSuchElement error I insert print statements. + ##print("before css selector") + tr.list <- div$findChildElements( + "css selector", "table.legend tr.label_variable") + a <- tr.list[[1]] + b <- tr.list[[2]] + ##print("before show_hide") + show_hide <- div$findChildElement("class name", "show_hide_selector_widgets") + ##print("before col_selector_widget") + widget <- div$findChildElement("class name", "label_variable_selector_widget") + list(a178=a, + b934=b, + show_hide=show_hide, + widget=widget) +} + +plot1top <- get_elements("plot1top") +plot1bottom <- get_elements("plot1bottom") + +test_that("clicking top legend adds/remove points", { + expect_equal(get_circles(), c(10, 10)) + plot1top$a178$clickElement() + expect_equal(get_circles(), c(5, 10)) + plot1top$b934$clickElement() + expect_equal(get_circles(), c(0, 10)) + plot1top$b934$clickElement() + expect_equal(get_circles(), c(5, 10)) + plot1top$a178$clickElement() + expect_equal(get_circles(), c(10, 10)) +}) + +test_that("clicking bottom legend adds/remove points", { + expect_equal(get_circles(), c(10, 10)) + plot1bottom$a178$clickElement() + expect_equal(get_circles(), c(10, 5)) + plot1bottom$b934$clickElement() + expect_equal(get_circles(), c(10, 0)) + plot1bottom$b934$clickElement() + expect_equal(get_circles(), c(10, 5)) + plot1bottom$a178$clickElement() + expect_equal(get_circles(), c(10, 10)) +}) + +plot1top$show_hide$clickElement() +s.div <- plot1top$widget$findChildElement("class name", "selectize-input") +s.div$clickElement() + +test_that("top widget adds/remove points", { + expect_equal(get_circles(), c(10, 10)) + remDr$sendKeysToActiveElement(list(key="backspace")) + expect_equal(get_circles(), c(5, 10)) + remDr$sendKeysToActiveElement(list(key="backspace")) + expect_equal(get_circles(), c(0, 10)) + remDr$sendKeysToActiveElement(list("a", key="enter")) + expect_equal(get_circles(), c(5, 10)) + remDr$sendKeysToActiveElement(list("b", key="enter")) + expect_equal(get_circles(), c(10, 10)) +}) + +plot1bottom$show_hide$clickElement() +s.div <- + plot1bottom$widget$findChildElement("class name", "selectize-input") +s.div$clickElement() + +test_that("bottom widget adds/remove points", { + expect_equal(get_circles(), c(10, 10)) + remDr$sendKeysToActiveElement(list(key="backspace")) + expect_equal(get_circles(), c(10, 5)) + remDr$sendKeysToActiveElement(list(key="backspace")) + expect_equal(get_circles(), c(10, 0)) + remDr$sendKeysToActiveElement(list("a", key="enter")) + expect_equal(get_circles(), c(10, 5)) + remDr$sendKeysToActiveElement(list("b", key="enter")) + expect_equal(get_circles(), c(10, 10)) +}) diff --git a/tests/testthat/test-renderer1-labels.R b/tests/testthat/test-renderer1-labels.R new file mode 100644 index 000000000..fce54a07f --- /dev/null +++ b/tests/testthat/test-renderer1-labels.R @@ -0,0 +1,103 @@ +acontext("Labels") + +# create some objects that will be reused +ggpoint <- ggplot() + geom_point(aes(Petal.Width, Sepal.Width), data = iris) + +test_that("ggtitle converts", { + viz <- list(scatter=ggpoint + ggtitle("My amazing plot!")) + info <- animint2HTML(viz) + expect_identical(info$plots$scatter$title, "My amazing plot!") + + ptitle <- getNodeSet(info$html, "//text[@class='plottitle']") + expect_identical(xmlValue(ptitle[[1]]), "My amazing plot!") +}) + +test_that("ylab converts", { + viz <- list(scatter=ggpoint + ylab("Sepal Width")) + info <- animint2HTML(viz) + expect_identical(info$plots$scatter$ytitle, "Sepal Width") + ylabel <- getNodeSet(info$html, "//text[@class='ytitle']") + expect_identical(xmlValue(ylabel[[1]]), "Sepal Width") +}) + +test_that("scale_x_continuous(name) converts", { + viz <- list(scatter=ggpoint + scale_x_continuous("Petal Width")) + info <- animint2HTML(viz) + expect_identical(info$plots$scatter$xtitle, "Petal Width") + xlabel <- getNodeSet(info$html, "//text[@class='xtitle']") + expect_identical(xmlValue(xlabel[[1]]), "Petal Width") +}) + +test_that("scale_x_continuous(breaks)+xlab(name) converts", { + viz <- + list(scatter=ggplot() + + geom_point(aes(Petal.Length, Sepal.Length), data = iris) + + scale_x_continuous(breaks = c(1.5, 6.5)) + + xlab("Petal Length")) + + info <- animint2HTML(viz) + + expect_identical(info$plots$scatter$xtitle, "Petal Length") + expect_identical(as.character(info$plots$scatter$axis$xlab), c("1.5", "6.5")) + + xlabel <- getNodeSet(info$html, "//text[@class='xtitle']") + expect_identical(xmlValue(xlabel[[1]]), "Petal Length") + xticks <- getNodeSet( + info$html, "//g[contains(@class, 'xaxis')]/g[@class='tick major']") + expect_identical(sapply(xticks, xmlValue), c("1.5", "6.5")) +}) + + +stocks <- data.frame( + time = as.Date('2009-01-01') + 0:89, + vars = rep(c("A", "B", "C"), 30), + value = rnorm(90) +) + +series <- ggplot() + geom_line(aes(x = time, y = value, group = vars), data = stocks) + +test_that("scale_x_time ticks/labels work", { + info <- animint2HTML(list(series = series)) + xticks <- getNodeSet( + info$html, "//g[contains(@class, 'xaxis')]/g[@class='tick major']") + expect_true(length(xticks) > 1) +}) + +getTickText <- function(html, id){ + xpath <- sprintf( + "//g[contains(@class, '%s')]//g[@class='tick major']//text", id) + nodes <- getNodeSet(html, xpath) + sapply(nodes, xmlValue) +} + +is.blank <- function(ticks){ + all(ticks == "") +} + +test_that("plot renders with theme(axis.text.x=element_blank())", { + viz <- list(series=series+theme(axis.text.x=element_blank())) + info <- animint2HTML(viz) + xticks <- getTickText(info$html, "xaxis") + expect_true(is.blank(xticks)) + yticks <- getTickText(info$html, "yaxis") + expect_true(!is.blank(yticks)) +}) + +test_that("plot renders with theme(axis.text.y=element_blank())", { + viz <- list(series=series+theme(axis.text.y=element_blank())) + info <- animint2HTML(viz) + xticks <- getTickText(info$html, "xaxis") + expect_true(!is.blank(xticks)) + yticks <- getTickText(info$html, "yaxis") + expect_true(is.blank(yticks)) +}) + +test_that("plot renders with theme(axis.text=element_blank())", { + viz <- list(series=series+theme(axis.text=element_blank())) + info <- animint2HTML(viz) + xticks <- getTickText(info$html, "xaxis") + expect_true(is.blank(xticks)) + yticks <- getTickText(info$html, "yaxis") + expect_true(is.blank(yticks)) +}) + diff --git a/tests/testthat/test-renderer1-legends.R b/tests/testthat/test-renderer1-legends.R new file mode 100644 index 000000000..543faad3a --- /dev/null +++ b/tests/testthat/test-renderer1-legends.R @@ -0,0 +1,112 @@ +acontext("legends") + +data(WorldBank, package="animint") +breaks <- 10^(4:9) +viz <- + list(ts=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=WorldBank, size=3, alpha=3/5), + scatter=ggplot()+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population), + data=WorldBank)+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year), + data=WorldBank)+ + make_text(WorldBank, 5, 80, "year")+ + scale_size_animint(breaks=breaks)) + +test_that('breaks are respected', { + info <- animint2dir(viz, open.browser=FALSE) + entries <- info$plots$scatter$legend$population$entries + label.chr <- sapply(entries, "[[", "label") + label.num <- as.numeric(label.chr) + expect_equal(sort(label.num), sort(breaks)) +}) + +test_that('hiding both legends works with geom_point(show.legend=FALSE)', { + viz$scatter <- ggplot()+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population), + data=WorldBank, show.legend=FALSE)+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year), + data=WorldBank)+ + make_text(WorldBank, 5, 80, "year") + info <- animint2dir(viz, open.browser=FALSE) + generated.names <- names(info$plots$scatter$legend) + expect_identical(length(generated.names), 0L) +}) + +test_that('hiding the color legend works with scale_color(guide="none")',{ + viz$scatter <- viz$scatter+ + scale_color_discrete(guide="none") + info <- animint2dir(viz, open.browser=FALSE) + generated.names <- names(info$plots$scatter$legend) + expect_identical(generated.names, "population") +}) + +test_that('hiding the color legend works with guides(color="none")',{ + viz$scatter <- viz$scatter+ + guides(color="none") + info <- animint2dir(viz, open.browser=FALSE) + generated.names <- names(info$plots$scatter$legend) + expect_identical(generated.names, "population") +}) + +test_that('hiding all legends works with theme(legend.position="none")',{ + viz$scatter <- viz$scatter+ + theme(legend.position="none") + info <- animint2dir(viz, open.browser=FALSE) + generated.names <- names(info$plots$scatter$legend) + expect_identical(generated.names, NULL) +}) + +error.types <- + data.frame(x=1:3, status=c("correct", "false positive", "false negative")) + +gg <- + ggplot(error.types)+ + geom_point(aes(x, x))+ + geom_tallrect(aes(xmin=x, xmax=x+0.5, fill=x), + color="black") + +expected.legend.list <- + list(increasing=1:3, + default=seq(3, 1, by=-0.5), + decreasing=3:1) + +test_that("renderer shows legend entries in correct order", { + viz <- + list(increasing=gg+ + scale_fill_continuous(breaks=1:3), + decreasing=gg+ + scale_fill_continuous(breaks=3:1), + default=gg) + info <- animint2HTML(viz) + ##sapply(info$plots, function(p)sapply(p$legend$x$entries, "[[", "label")) + + ## NOTE: it is important to test the renderer here (not the + ## compiler) since maybe the order specified in the plot.json file + ## is not the same as the order of appearance on the web page. + + ## The expected behavior is smaller numeric entries on the bottom of + ## the legend by default, and if they are manually specified via + ## breaks, we have: + breaks <- + c("top", + "middle", + "bottom") + for(plot.name in names(expected.legend.list)){ + xpath <- + sprintf('//td[@class="%s_legend"]//td[@class="legend_entry_label"]', + plot.name) + expected.entries <- expected.legend.list[[plot.name]] + node.set <- getNodeSet(info$html, xpath) + value.str <- sapply(node.set, xmlValue) + value.num <- as.numeric(value.str) + expect_equal(value.num, expected.entries) + } +}) diff --git a/tests/testthat/test-renderer1-linetype.R b/tests/testthat/test-renderer1-linetype.R new file mode 100644 index 000000000..ed784cc54 --- /dev/null +++ b/tests/testthat/test-renderer1-linetype.R @@ -0,0 +1,50 @@ +acontext("linetype") + +error.types <- + data.frame(x=1:3, status=c("correct", "false positive", "false negative")) + +gg <- + ggplot(error.types)+ + geom_point(aes(x, x))+ + geom_tallrect(aes(xmin=x, xmax=x+0.5, linetype=status), + fill="grey", + color="black") + +dasharrayPattern <- + paste0("stroke-dasharray:", + "(?<value>.*?)", + ";") + +rect.xpaths <- + c('//svg[@id="plot_numeric"]//g[@class="PANEL1"]//rect', + '//svg[@id="plot_character"]//g[@class="PANEL1"]//rect', + '//td[@class="numeric_legend"]//rect', + '//td[@class="character_legend"]//rect') + +test_that("linetypes render correctly", { + viz <- + list(numeric=gg+ + scale_linetype_manual(values=c(correct=0, + "false positive"=1, + "false negative"=3), + limits=c("correct", "false positive", + "false negative")), + + character=gg+scale_linetype_manual(values=c(correct="blank", + "false positive"="solid", + "false negative"="dotted"), + limits=c("correct", "false positive", + "false negative"))) + info <- animint2HTML(viz) + + for(xpath in rect.xpaths){ + node.set <- getNodeSet(info$html, xpath) + expect_equal(length(node.set), 3) + attr.mat <- sapply(node.set, xmlAttrs) + match.mat <- str_match_perl(attr.mat["style",], dasharrayPattern) + value.vec <- match.mat[, "value"] + expect_match(value.vec[1], "0(px)?, *20(px)?") + expect_identical(value.vec[2], NA_character_) + expect_match(value.vec[3], "2(px)?, *4(px)?") + } +}) diff --git a/tests/testthat/test-renderer1-malaria.R b/tests/testthat/test-renderer1-malaria.R new file mode 100644 index 000000000..3eb2643d1 --- /dev/null +++ b/tests/testthat/test-renderer1-malaria.R @@ -0,0 +1,241 @@ +library(testthat) +acontext("malaria data viz") + +data(malaria, package = "animint") + +fp.fn.colors <- c(FP="skyblue", + fp="skyblue", + fn="#E41A1C", + FN="#E41A1C", + tn="white", + tp="grey", + errors="black") + +chrom2int <- function(chrom){ + only.num <- sub("PyYM_([0-9]{2})_v1", "\\1", chrom) + factor(as.integer(only.num), 1:14) +} + +for(df.name in names(malaria)){ + df <- malaria[[df.name]] + if("chrom" %in% names(df)){ + malaria[[df.name]]$chrom.fac <- chrom2int(df$chrom) + } +} + +rownames(malaria$amplicons) <- malaria$amplicons$LOCUS_ID +normalize <- function(LOCUS_ID, position){ + LID <- paste(LOCUS_ID) + firstVariant <- malaria$amplicons[LID, ]$firstVariant + lastVariant <- malaria$amplicons[LID, ]$lastVariant + mid <- (firstVariant+lastVariant)/2 + left <- firstVariant + left <- mid-200 + right <- mid+200 + bases <- right - left + (position-left)/bases +} + +malaria$error.variants$POS.norm <- with(malaria$error.variants, { + normalize(LOCUS_ID, POS) +}) +malaria$regions$regionStart.norm <- with(malaria$regions, { + normalize(LOCUS_ID, regionStart) +}) +malaria$regions$regionEnd.norm <- with(malaria$regions, { + normalize(LOCUS_ID, regionEnd) +}) +malaria$amplicons$firstVariant.norm <- with(malaria$amplicons, { + normalize(LOCUS_ID, firstVariant) +}) +malaria$amplicons$lastVariant.norm <- with(malaria$amplicons, { + normalize(LOCUS_ID, lastVariant) +}) + +viz <- + list(errorCurves=ggplot()+ + theme_bw()+ + ggtitle(paste("error curves, select MQ threshold"))+ + xlab("MQ threshold")+ + ylab("incorrectly called variants")+ + make_tallrect(malaria$error.curves, "filterVar.thresh")+ + geom_line(aes(filterVar.thresh, metric.value, + group=metric.name, + color=metric.name), + data=malaria$error.curves)+ + scale_color_manual(values=fp.fn.colors)+ + geom_text(aes(filterVar.thresh, metric.value+offset, + color=metric.name, + label=paste(metric.value, metric.name, " "), + showSelected=filterVar.thresh), + hjust=1, + data=malaria$error.curves), + + chroms=ggplot()+ + theme_bw()+ + ggtitle("Sanger sequenced amplicons")+ + theme_animint(width=600)+ + geom_text(aes(chrom.fac, position/1e3, + label=sprintf("MQ threshold = %.1f", + filterVar.thresh), + showSelected=filterVar.thresh), + data=malaria$filterVar.labels)+ + geom_text(aes(chrom.fac, position/1e3, + label=paste(fp, "fp_"), + clickSelects=LOCUS_ID, + showSelected3=annotation, + showSelected2=highly.divergent.regions, + showSelected=filterVar.thresh), + hjust=1, + color=fp.fn.colors[["fp"]], + data=subset(malaria$error.amplicons, fp != 0))+ + geom_text(aes(chrom.fac, position/1e3, + label=paste0("_" , fn, " fn"), + clickSelects=LOCUS_ID, + showSelected3=annotation, + showSelected2=highly.divergent.regions, + showSelected=filterVar.thresh), + color=fp.fn.colors[["fn"]], + hjust=0, + data=subset(malaria$error.amplicons, fn != 0))+ + geom_segment(aes(chrom.fac, 0, + yend=bases/1e3, xend=chrom.fac), + data=malaria$chroms)+ + geom_point(aes(chrom.fac, position/1e3, + color=highly.divergent.regions, + fill=annotation, + clickSelects=LOCUS_ID), + size=5, + pch=21, + data=malaria$amplicons)+ + scale_color_manual(values=c(none="white", some="black"))+ + scale_x_discrete("Malaria parasite yoelii yoelii chromosome", + drop=FALSE)+ + ylab("position on chromosome (kilo bases = kb)"), + + variants=ggplot()+ + theme_bw()+ + ggtitle("Variants in each sanger sequenced amplicon")+ + theme_animint(width=1000, height=600)+ + scale_fill_manual(values=fp.fn.colors)+ + scale_y_discrete("amplicon LOCUS_ID", drop=FALSE)+ + scale_x_continuous("relative position on amplicon", + limits=c(-0.05, 1.05), + breaks=c())+ + geom_text(aes(firstVariant.norm, LOCUS_ID, + showSelected=highly.divergent.regions, + showSelected2=annotation, + label=paste0(firstVariant, "_")), + hjust=1, + data=malaria$amplicons)+ + geom_text(aes(lastVariant.norm, LOCUS_ID, + showSelected=highly.divergent.regions, + showSelected2=annotation, + label=paste0("_", lastVariant, " --- ", + lastVariant-firstVariant, " bases")), + hjust=0, + data=malaria$amplicons)+ + geom_segment(aes(firstVariant.norm, LOCUS_ID, + xend=lastVariant.norm, yend=LOCUS_ID, + showSelected=highly.divergent.regions, + showSelected2=annotation, + clickSelects=LOCUS_ID), + size=12, + alpha=0.6, + data=malaria$amplicons)+ + geom_segment(aes(regionStart.norm, LOCUS_ID, + xend=regionEnd.norm, yend=LOCUS_ID, + showSelected=highly.divergent.regions, + showSelected2=annotation, + color=region.type), + size=8, + data=malaria$regions)+ + scale_color_manual(values=c("#E41A1C", #red + "#377EB8", #blue + "#4DAF4A", #green + "#984EA3", #purple + "#FF7F00", #orange + LCR="#FFFF33", #yellow + "#A65628", + "#F781BF", + HDR="black"))+ + geom_point(aes(POS.norm, LOCUS_ID, + tooltip=paste(Coding, Variant_type), + showSelected=highly.divergent.regions, + showSelected2=annotation, + showSelected3=filterVar.thresh, + fill=error.type), + color="black", + pch=21, + size=4, + data=malaria$error.variants), + + first=list(filterVar.thresh=malaria$filterVar$best.thresh), + + title="Malaria parasite NextGenSeq variant calling errors") + +expect_no_warning({ + info <- animint2HTML(viz) +}) + +expected.dot.df <- + subset(malaria$error.variants, + filterVar.thresh==malaria$filterVar$best.thresh) +test_that("expected number of <circle> rendered", { + circle.list <- + getNodeSet(info$html, '//g[@class="geom13_point_variants"]//circle') + expect_equal(length(circle.list), nrow(expected.dot.df)) +}) + +region.lines <- + getNodeSet(info$html, '//g[@class="geom12_segment_variants"]//line') +test_that("one line is rendered for each region", { + expect_equal(length(region.lines), nrow(malaria$regions)) +}) + +getFillStroke <- function(value){ + xpath <- sprintf( + '//tr[@id="plot_chroms_highly_divergent_regions_variable_%s"]//circle', + value) + getStyleValue(info$html, xpath, c("stroke", "fill")) +} +some <- getFillStroke("some") +none <- getFillStroke("none") +test_that("geom_point(aes(color)) legend shows as circle stroke", { + expect_true(some["stroke",] != none["stroke",]) + expect_true(some["fill",] == none["fill",]) +}) + +get.opacity <- function(class.name){ + xpath <- sprintf( + '//tr[@class="%s"]//td[@class="legend_entry_label"]', + class.name) + getStyleValue(getHTML(), xpath, "opacity") +} +before.vec <- get.opacity("annotation_variable") +test_that("INTERGENIC legend entry opacity 1 before clicking", { + expect_identical(before.vec, c("1", "1", "1", "1")) +}) + +clickID("plot_chroms_annotation_variable_INTERGENIC") +after.vec <- get.opacity("annotation_variable") +test_that("INTERGENIC legend entry opacity 0.5 after clicking", { + expect_identical(after.vec, c("1", "0.5", "1", "1")) +}) + +before.vec <- get.opacity("highly_divergent_regions_variable") +test_that("none legend entry opacity 1 before clicking", { + expect_identical(before.vec, c("1", "1")) +}) + +clickID("plot_chroms_highly_divergent_regions_variable_none") +after.vec <- get.opacity("highly_divergent_regions_variable") +test_that("none legend entry opacity 0.5 after clicking", { + expect_identical(after.vec, c("0.5", "1")) +}) + +## TODO: test number of geoms rendered in chroms and variants plots, +## before and after clicking. + + + diff --git a/tests/testthat/test-renderer1-many-facets.R b/tests/testthat/test-renderer1-many-facets.R new file mode 100644 index 000000000..473b1f680 --- /dev/null +++ b/tests/testthat/test-renderer1-many-facets.R @@ -0,0 +1,65 @@ +library(testthat) + +acontext("many facets") + +n.circles <- 40 +df <- data.frame(x=0, y=0, facet=1:n.circles) +gg <- ggplot()+ + geom_point(aes(x, y), data=df)+ + theme_bw()+ + theme(panel.margin=grid::unit(0, "cm")) +viz <- + list(horizontal=gg+ + theme_animint(width=n.circles * 30 + 50)+ + facet_grid(. ~ facet), + vertical=gg+ + theme_animint(height=n.circles * 30 + 50)+ + facet_grid(facet ~ .)) + +info <- animint2HTML(viz) + +test_that("points have positive positions", { + circle.list <- + getNodeSet(info$html, '//circle') + expect_equal(length(circle.list), n.circles * 2) + xy.vec <- as.numeric(sapply(circle.list, function(circle){ + xmlAttrs(circle)[c("cx", "cy")] + })) + expect_true(all(0 < xy.vec)) +}) + +test_that("no horizontal space between border_rects", { + rect.list <- getNodeSet( + info$html, '//svg[@id="plot_horizontal"]//rect[@class="border_rect"]') + expect_equal(length(rect.list), n.circles) + first <- xmlAttrs(rect.list[[1]]) + first.right <- as.numeric(first[["x"]])+as.numeric(first[["width"]]) + second <- xmlAttrs(rect.list[[2]]) + second.left <- as.numeric(second[["x"]]) + expect_equal(first.right, second.left) +}) + +test_that("no vertical space between border_rects", { + rect.list <- getNodeSet( + info$html, '//svg[@id="plot_vertical"]//rect[@class="border_rect"]') + expect_equal(length(rect.list), n.circles) + first <- xmlAttrs(rect.list[[1]]) + first.bottom <- as.numeric(first[["y"]])+as.numeric(first[["height"]]) + second <- xmlAttrs(rect.list[[2]]) + second.top <- as.numeric(second[["y"]]) + expect_equal(first.bottom, second.top) +}) + +test_that("right strips all at the same x position", { + text.list <- getNodeSet( + info$html, '//svg[@id="plot_vertical"]//g[@class="rightStrip"]//text') + expect_equal(length(text.list), n.circles) + translate.vec <- sapply(text.list, function(x)xmlAttrs(x)[["transform"]]) + translate.mat <- str_match_perl(translate.vec, translatePattern) + x.vec <- as.numeric(translate.mat[, "x"]) + expected.val <- x.vec[[1]] + expected.vec <- rep(expected.val, length(x.vec)) + ## print(rbind(computed=x.vec, + ## expected=expected.vec)) + expect_equal(x.vec, expected.vec) +}) diff --git a/tests/testthat/test-renderer1-panels.R b/tests/testthat/test-renderer1-panels.R new file mode 100644 index 000000000..dbfcfac26 --- /dev/null +++ b/tests/testthat/test-renderer1-panels.R @@ -0,0 +1,241 @@ +acontext("Panel background") + +p1 <- ggplot() + + geom_point(aes(Sepal.Length, Sepal.Width, + colour = Species, size = Species), data = iris) + + theme_grey() + + theme(panel.background = element_rect(fill = "lightblue"), + panel.border = element_rect(fill = NA, + color = "black", + size = 2, + linetype = "dashed"), + panel.margin = grid::unit(0.1, "cm")) + + facet_wrap(~Species, nrow = 2) +p2 <- ggplot() + + geom_point(aes(Petal.Length, Petal.Width, + colour = Species, size = Species), data = iris) + + ggtitle("Petal Data") + + theme_bw() +p3 <- p2 + + theme(panel.background = element_blank(), + panel.grid.major = element_blank(), + panel.grid.minor = element_blank()) +p4 <- p2 + + ## recreating theme_fivethirtyeight from ggthemes package + theme(rect = element_rect(fill = "#F0F0F0", colour = NA, + size = 0.5, linetype = 0), + line = element_line(colour = "#D2D2D2", size = 0.5, linetype = 1, + lineend = "butt"), + text = element_text(family = "sans", face = "plain", + colour = "#3C3C3C", size = 12, + hjust = 0.5, vjust = 0.5, angle = 0, + lineheight = 0.9, margin = c(0, 0, 0, 0), + debug = FALSE), + panel.background = element_rect(), + panel.grid = element_line(), + panel.grid.major = element_line(), + panel.grid.minor = element_blank(), + complete = T) + +info <- animint2HTML(list(sepal = p1, petal = p2, blank = p3, gg538 = p4)) + +rect.list <- getNodeSet( + info$html, '//svg[@id="plot_sepal"]//rect[@class="border_rect"]') +expect_equal(length(rect.list), 3) +at.mat <- sapply(rect.list, xmlAttrs) + +test_that("four unique border_rect x values (some horiz space)", { + left.vec <- as.numeric(at.mat["x", ]) + width.vec <- as.numeric(at.mat["width", ]) + right.vec <- left.vec + width.vec + x.values <- unique(c(left.vec, right.vec)) + expect_equal(length(x.values), 4) +}) + +# extracting html from plots -------------------------------------- + +# background rectangle for each panel +background_sepal <- getNodeSet( + info$html, '//svg[@id="plot_sepal"]//rect[@class="background_rect"]') +attr_back_sepal <- sapply(background_sepal, xmlAttrs) + +background_petal <- getNodeSet( + info$html, '//svg[@id="plot_petal"]//rect[@class="background_rect"]') +attr_back_petal <- sapply(background_petal, xmlAttrs) + +blank_petal <- getNodeSet( + info$html, '//svg[@id="plot_blank"]//rect[@class="background_rect"]') + +gg538 <- getNodeSet( + info$html, '//svg[@id="plot_gg538"]//rect[@class="background_rect"]') +attr_gg538 <- sapply(gg538, xmlAttrs) + +# border rectangle for each panel +border_sepal <- getNodeSet( + info$html, '//svg[@id="plot_sepal"]//rect[@class="border_rect"]') +attr_border_sepal <- sapply(border_sepal, xmlAttrs) + +border_petal <- getNodeSet( + info$html, '//svg[@id="plot_petal"]//rect[@class="border_rect"]') +attr_border_petal <- sapply(border_petal, xmlAttrs) + +# major grid lines +grid_major_sepal <- getNodeSet( + info$html, '//svg[@id="plot_sepal"]//g[@class="grid_major"]//line') +attr_major_sepal <- sapply(grid_major_sepal, xmlAttrs) + +grid_major_petal <- getNodeSet( + info$html, '//svg[@id="plot_petal"]//g[@class="grid_major"]//line') +attr_major_petal <- sapply(grid_major_petal, xmlAttrs) + +grid_major_blank <- getNodeSet( + info$html, '//svg[@id="plot_blank"]//g[@class="grid_major"]//line') + +grid_major_gg538 <- getNodeSet( + info$html, '//svg[@id="plot_gg538"]//g[@class="grid_major"]//line') +attr_major_gg538 <- sapply(grid_major_gg538, xmlAttrs) + +# minor grid lines +grid_minor_sepal <- getNodeSet( + info$html, '//svg[@id="plot_sepal"]//g[@class="grid_minor"]//line') + +grid_minor_petal <- getNodeSet( + info$html, '//svg[@id="plot_petal"]//g[@class="grid_minor"]//line') + +grid_minor_blank <- getNodeSet( + info$html, '//svg[@id="plot_blank"]//g[@class="grid_minor"]//line') + +# different patterns to access +fillPattern <- paste0("fill: ", + "(?<value>.*?)", + ";") +strokePattern <- paste0("stroke: ", + "(?<value>.*?)", + ";") +dasharrayPattern <- paste0("stroke-dasharray:", + "(?<value>.*?)", + ";") + +# Testing ----------------------------------- + +test_that("panel backgrounds render correctly", { + # testing that there are the correct number of panels + expect_equal(length(background_sepal), 3) + expect_equal(length(background_petal), 1) + expect_equal(length(blank_petal), 0) # no rectangle for element_blank() + expect_equal(length(gg538), 1) + + # test background fills + match_sepal <- str_match_perl(attr_back_sepal["style",], fillPattern) + value_sepal <- match_sepal[, "value"] + expect_color(value_sepal[1], "lightblue") + + match_petal <- str_match_perl(attr_back_petal["style",], fillPattern) + value_petal <- match_petal[, "value"] + expect_color(value_petal[1], "white") + + match_gg538 <- str_match_perl(attr_gg538["style",], fillPattern) + value_gg538 <- match_gg538[, "value"] + expect_color(value_gg538[1], "#F0F0F0") +}) + +test_that("panel borders render correctly", { + # testing that there are the correct number of panels + expect_equal(length(border_sepal), 3) + expect_equal(length(border_petal), 1) + + # test border colors + match_sepal <- str_match_perl(attr_border_sepal["style",], strokePattern) + value_sepal <- match_sepal[, "value"] + expect_color(value_sepal[1], "black") + + match_petal <- str_match_perl(attr_border_petal["style",], strokePattern) + value_petal <- match_petal[, "value"] + expect_color(value_petal[1], "grey50") +}) + +test_that("grid lines are drawn correctly", { + # correct number of grid lines in both plots + expect_equal(length(grid_major_sepal), 30) + expect_equal(length(grid_major_petal), 9) + expect_equal(length(grid_minor_sepal), 27) + expect_equal(length(grid_minor_petal), 9) + expect_equal(length(grid_major_blank), 0) + expect_equal(length(grid_minor_blank), 0) + expect_equal(length(grid_major_gg538), 9) + + # correct color of grid lines + match_sepal <- str_match_perl(attr_major_sepal["style",], strokePattern) + value_sepal <- match_sepal[, "value"] + expect_color(value_sepal[1], "white") + + match_petal <- str_match_perl(attr_major_petal["style",], strokePattern) + value_petal <- match_petal[, "value"] + expect_color(value_petal[1], "grey90") + + match_gg538 <- str_match_perl(attr_major_gg538["style",], strokePattern) + value_gg538 <- match_gg538[, "value"] + expect_color(value_gg538[1], "#D2D2D2") +}) + +data(tips, package = "reshape2") +tips$sex_smoker <- with(tips, interaction(sex, smoker)) +ss.viz <- list( + p1 = ggplot() + theme(legend.position = "none") + + geom_point(data = tips, position = "jitter", + aes(x = sex, y = smoker, colour = sex_smoker, + clickSelects = sex_smoker)), + p2 = ggplot() + + geom_point(data = tips, + aes(x = total_bill, y = tip, colour = sex_smoker, + showSelected = sex_smoker)) + ) + +test_that("renderer can handle no grid lines", { + info <- animint2HTML(ss.viz) + # extract grids + grid_major_p1 <- getNodeSet( + info$html, '//svg[@id="plot_p1"]//g[@class="grid_major"]//line') + grid_minor_p1 <- getNodeSet( + info$html, '//svg[@id="plot_p1"]//g[@class="grid_minor"]//line') + expect_equal(length(grid_major_p1), 4) + expect_equal(length(grid_minor_p1), 0) +}) + +test_that("multiple selection sex_smoker plot", { + ss.viz$selector.types$sex_smoker <- "multiple" + info <- animint2HTML(ss.viz) + circle.list <- getNodeSet( + info$html, '//svg[@id="plot_p2"]//circle') + expect_equal(length(circle.list), nrow(tips)) +}) + +test_that("renderer can handle only one grid line", { + info <- animint2HTML(list( + petal = p2 + scale_y_log10() + )) + # extract grids + grid_minor_hor <- getNodeSet(info$html, '//svg//g[@class="grid_minor"]//g[@class="hor"]//line') + grid_minor_vert <- getNodeSet(info$html, '//svg//g[@class="grid_minor"]//g[@class="vert"]//line') + expect_equal(length(grid_minor_hor), 1) + expect_equal(length(grid_minor_vert), 4) +}) + +test_that("no minor grid lines is handed correctly", { + data(geyser, package = "MASS") + info <- animint2HTML(list( + g = ggplot() + + geom_point(data = geyser, + aes(x = duration, y = waiting)) + + geom_contour(data = geyser, + aes(x = duration, y = waiting), + colour = "blue", size = .5, stat = "density2d") + + xlim(0.5, 6) + scale_y_log10(limits = c(40,110)) + + ggtitle("geom_contour 2d density") + )) + # extract grids + grid_major_hor <- getNodeSet(info$html, '//svg//g[@class="grid_major"]//g[@class="hor"]//line') + grid_minor_hor <- getNodeSet(info$html, '//svg//g[@class="grid_minor"]//g[@class="hor"]//line') + expect_equal(length(grid_major_hor), 1) + expect_equal(length(grid_minor_hor), 0) +}) diff --git a/tests/testthat/test-renderer1-params.R b/tests/testthat/test-renderer1-params.R new file mode 100644 index 000000000..3d2e7129d --- /dev/null +++ b/tests/testthat/test-renderer1-params.R @@ -0,0 +1,56 @@ +acontext("params") + +df <- data.frame(z=rnorm(100)) + +viz <- + list(step=ggplot()+ + geom_step(aes(seq_along(z), z), + data=df, + size=3, + color="grey50")) + +pattern <- + paste0("(?<name>\\S+?)", + ": *", + "(?<value>.+?)", + ";") + +test_that("transparent does not convert", { + expect_identical(toRGB("transparent"), "transparent") +}) + +test_that("NA converts to transparent", { + expect_identical(toRGB(NA), "transparent") +}) + +test_that("grey50 converts", { + expect_identical(toRGB("grey50"), "#7F7F7F") +}) + +test_that("color is converted to RGB colour", { + info <- animint2HTML(viz) + + expect_equal(length(info$geoms), 1) + g <- info$geoms[[1]] + expected.colour <- as.character(toRGB("grey50")) + expect_identical(g$params$colour, expected.colour) + + node.list <- getNodeSet(info$html, '//g[@class="geom1_step_step"]//path') + expect_equal(length(node.list), 1) + node <- node.list[[1]] + attr.vec <- xmlAttrs(node) + style.str <- attr.vec[["style"]] + style.mat <- str_match_all_perl(style.str, pattern)[[1]] + style.vec <- style.mat[, "value"] + expect_identical(style.vec[["fill"]], "none") + expect_match(style.vec[["stroke-width"]], "3") + stroke <- style.vec[["stroke"]] + if(grepl("rgb", stroke)){ + expected.regex <- paste(col2rgb(expected.colour), collapse=", *") + expect_match(stroke, expected.regex) + ## On firefox, stroke is "rgb(127, 127, 127)" + }else{ + expect_identical(toupper(stroke), toupper(expected.colour)) + ## On phantomjs, stroke is "#7f7f7f" + } +}) diff --git a/tests/testthat/test-renderer1-rect-size.R b/tests/testthat/test-renderer1-rect-size.R new file mode 100644 index 000000000..e1bd685df --- /dev/null +++ b/tests/testthat/test-renderer1-rect-size.R @@ -0,0 +1,36 @@ +acontext("rect size") + +df <- data.frame(xmin = c(0, 0), + ymin = c(0, 2), + xmax = c(1, 1), + ymax = c(1, 3), +# phantomjs hangs when calling animint2HTML() and size/stroke-width is *exactly* 0 + size = c(0.01, 5)) + +test_that("rect size translates to stroke-width", { + viz <- + list(segs = ggplot() + + geom_rect(data = df, size = 5, color = "violet", + aes(xmin = xmin, ymin = ymin, xmax = xmax, ymax = ymax))) + info <- animint2HTML(viz) + expect_styles(info$html, list("stroke-width"="^5[a-z]*$")) +}) + +test_that("zero rect size translates to stroke-width", { + # phantomjs hangs when calling animint2HTML() and size/stroke-width is *exactly* 0 + viz <- list(segs = ggplot() + + geom_rect(data = df, size = 0.01, color = "violet", + aes(xmin = xmin, ymin = ymin, + xmax = xmax, ymax = ymax))) + info <- animint2HTML(viz) + expect_styles(info$html, list("stroke-width"="^0.01[a-z]*$")) +}) + +test_that("rect size range translates to stroke-width", { + viz <- list(segs = ggplot() + geom_rect(data = df, color = "violet", + aes(xmin = xmin, ymin = ymin, + xmax = xmax, ymax = ymax, size = size)) + + scale_size_identity()) + info <- suppressWarnings(animint2HTML(viz)) + expect_styles(info$html, list("stroke-width"=c("^0.01[a-z]*$", "^5[a-z]*$"))) +}) diff --git a/tests/testthat/test-renderer1-segment-size.R b/tests/testthat/test-renderer1-segment-size.R new file mode 100644 index 000000000..4ab0fc138 --- /dev/null +++ b/tests/testthat/test-renderer1-segment-size.R @@ -0,0 +1,25 @@ +acontext("Segment size") + +df <- data.frame(x=c(0, 0), + y=c(0, 1), + xend=c(1, 1), + yend=c(1, 0), + size=c(5, 10)) + +test_that("segment size translates to stroke-width", { + viz <- list(segs=ggplot()+ + geom_segment(aes(x, y, xend=xend, yend=yend), + data=df, size=1)) + info <- animint2HTML(viz) + ## Need the ^$ so that we do not match e.g. 210. + expect_styles(info$html, list("stroke-width"="^1[a-z]*$")) +}) + +test_that("segment size range translates to stroke-width", { + viz <- list(segs=ggplot()+ + geom_segment(aes(x, y, xend=xend, yend=yend, size=size), + data=df)+ + scale_size_identity()) + info <- animint2HTML(viz) + expect_styles(info$html, list("stroke-width"=c("^5[a-z]*$", "^10[a-z]*$"))) +}) diff --git a/tests/testthat/test-renderer1-text.R b/tests/testthat/test-renderer1-text.R new file mode 100644 index 000000000..b4dd47615 --- /dev/null +++ b/tests/testthat/test-renderer1-text.R @@ -0,0 +1,32 @@ +acontext("Text") + +data(WorldBank, package = "animint") +wb2010 <- subset(WorldBank, year==2010) +subset(wb2010, population==min(population)) +### This test does not pass if we use the wb2010 data set above rather +### than the wb data set below. The problem is that the scales are +### trained before NAs are removed from the data. There are NA values +### in life.expectancy/fertility.rate for Tuvalu, but not in +### population. So Tuvalu will not be rendered on the plot, and in +### fact there will be no text element with fontsize=10! +wb <- subset(wb2010, !is.na(population) & + !is.na(fertility.rate) & !is.na(life.expectancy)) +viz <- list(scatter=ggplot()+ + geom_text(aes(y=fertility.rate, x=life.expectancy, + label=country, size=population, colour=population), + data=wb)+ + scale_size_continuous(range=c(10,20))) + +test_that("text size range translates to <text font-size>", { + info <- animint2HTML(viz) + expect_attrs(info$html, 'text[@class="geom"]', "font-size", c("10", "20")) +}) + +test_that("text may contain commas and parentheses", { + info <- animint2HTML(viz) + geom <- getNodeSet(info$html, '//text[@class="geom"]') + txt <- sapply(geom, xmlValue) + expect_that(any(grepl("\\.", txt)), is_true()) + expect_that(any(grepl("\\(", txt)), is_true()) + expect_that(any(grepl(",", txt)), is_true()) +}) diff --git a/tests/testthat/test-renderer1-tooltip.R b/tests/testthat/test-renderer1-tooltip.R new file mode 100644 index 000000000..d60b1c5a3 --- /dev/null +++ b/tests/testthat/test-renderer1-tooltip.R @@ -0,0 +1,120 @@ +acontext("aes(tooltip)") + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +country.counts <- table(not.na$year) +years <- data.frame(year=as.numeric(names(country.counts)), + countries=as.numeric(country.counts)) +viz <- + list(scatter=ggplot()+ + geom_point(aes(life.expectancy, fertility.rate, clickSelects=country, + showSelected=year, colour=region, size=population, + tooltip=paste(country, "population", population), + key=country), # key aesthetic for animated transitions! + data=WorldBank)+ + geom_text(aes(life.expectancy, fertility.rate, label=country, + showSelected=country, showSelected2=year, + key=country), #also use key here! + data=WorldBank)+ + scale_size_animint(breaks=10^(5:9))+ + geom_rect(aes(xmin=45, xmax=70, + ymin=8, ymax=10, + showSelected=year, + tooltip=paste(countries, "not NA in", year)), + data=years, color="yellow")+ + geom_rect(aes(xmin=35, xmax=40, + ymin=2, ymax=2.5, + showSelected=year), + data=years, color="orange")+ + geom_text(aes(55, 9, label=paste("year =", year), + showSelected=year), + data=years), + + ts=ggplot()+ + make_tallrect(WorldBank, "year")+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country), + data=WorldBank, size=4, alpha=3/5), + + bar=ggplot()+ + theme_animint(height=2400)+ + geom_bar(aes(country, life.expectancy, fill=region, + showSelected=year, clickSelects=country), + data=WorldBank, stat="identity", position="identity")+ + coord_flip(), + duration=list(year=1000), + first=list(year=1975, country="United States"), + title="World Bank data (single selection)") + +subset(WorldBank, country=="United States" & year == 1975)$population +subset(years, year==1975) + +info <- animint2HTML(viz) + +test_that("aes(tooltip, clickSelects) means show tooltip", { + nodes <- + getNodeSet(info$html, '//g[@class="geom1_point_scatter"]//circle//title') + tooltips <- sapply(nodes, xmlValue) + expect_match(tooltips, "population") +}) + +test_that("aes(clickSelects) means show 'variable value'", { + nodes <- + getNodeSet(info$html, '//g[@class="geom7_line_ts"]//path//title') + tooltips <- sapply(nodes, xmlValue) + expect_match(tooltips, "country") +}) + +test_that("aes(tooltip) means show tooltip", { + nodes <- + getNodeSet(info$html, '//g[@class="geom3_rect_scatter"]//rect//title') + tooltips <- sapply(nodes, xmlValue) + expect_match(tooltips, "not NA") +}) + +test_that("aes() means show no tooltip", { + rect.xpath <- '//g[@class="geom4_rect_scatter"]//rect' + rect.nodes <- getNodeSet(info$html, rect.xpath) + expect_equal(length(rect.nodes), 1) + + title.xpath <- paste0(rect.xpath, '//title') + title.nodes <- getNodeSet(info$html, title.xpath) + expect_equal(length(title.nodes), 0) +}) + +set.seed(1) +viz <- list( + linetip=ggplot()+ + geom_line(aes(x, y, tooltip=paste("group", g), group=g), + size=5, + data=data.frame(x=c(1,2,1,2), y=rnorm(4), g=c(1,1,2,2)))) + +test_that("line tooltip renders as title", { + info <- animint2HTML(viz) + title.nodes <- getNodeSet(info$html, '//g[@class="geom1_line_linetip"]//title') + value.vec <- sapply(title.nodes, xmlValue) + expect_identical(value.vec, c("group 1", "group 2")) +}) + +WorldBank1975 <- WorldBank[WorldBank$year == 1975, ] +NotNA1975 <- subset(not.na, year==1975) +ex_plot <- ggplot() + + geom_point(aes(fertility.rate, life.expectancy, color = region, + tooltip = country, href = "https://github.com"), + data = WorldBank1975) + +viz <- list(ex = ex_plot) +info <- animint2HTML(viz) + +test_that("tooltip works with href",{ + # Test for bug when points are not rendered with both href + tooltip + point_nodes <- + getNodeSet(info$html, '//g[@class="geom1_point_ex"]//a//circle') + expected.countries <- NotNA1975$country + expect_equal(length(point_nodes), length(expected.countries)) + # See that every <a> element has a title (the country name) initially + title_nodes <- + getNodeSet(info$html, '//g[@class="geom1_point_ex"]//a//title') + rendered_titles <- sapply(title_nodes, xmlValue) + expect_identical(sort(rendered_titles), sort(expected.countries)) +}) diff --git a/tests/testthat/test-renderer1-url-fragment.R b/tests/testthat/test-renderer1-url-fragment.R new file mode 100644 index 000000000..bd60215c9 --- /dev/null +++ b/tests/testthat/test-renderer1-url-fragment.R @@ -0,0 +1,61 @@ +acontext("url fragment identifier") + +iris$observation <- 1:nrow(iris) +viz <- list( + petal=ggplot()+ + geom_point(aes(Petal.Width, Petal.Length, fill=Species, + id=paste0("petal", observation), + clickSelects=observation), data=iris), + sepal=ggplot()+ + geom_point(aes(Sepal.Width, Sepal.Length, fill=Species, + id=paste0("sepal", observation), + clickSelects=observation), data=iris), + first=list(observation=5)) + +info <- animint2HTML(viz) + +test_that("all species are selected for url with no selection", { + opacity.str <- getStyleValue(info$html, "//td[@class='legend_entry_label']", "opacity") + opacity.num <- as.numeric(opacity.str) + opacity.exp <- rep(1, 6) + expect_equal(opacity.num, opacity.exp) +}) + +test_that("one observation selected for url with no selection", { + circle.xpath <- "//circle[@class='geom']" + node.list <- getNodeSet(info$html, circle.xpath) + opacity.str <- getStyleValue(info$html, circle.xpath, "opacity") + names(opacity.str) <- sapply(node.list, xmlAttrs)["id",] + selected.names <- paste0(c("petal", "sepal"), 5) + is.selected <- names(opacity.str) %in% selected.names + expect_equal(as.numeric(opacity.str[is.selected]), rep(1, 2)) + expect_equal(as.numeric(opacity.str[!is.selected]), rep(0.5, 298)) +}) + +old_address <- remDr$getCurrentUrl()[[1]] +new_address <- paste0(old_address, '#Species={setosa}') +remDr$navigate(new_address) +remDr$refresh() +Sys.sleep(10) +html <- getHTML() + +test_that("one species is selected for url with selection", { + entry.xpath <- "//td[@class='legend_entry_label']" + node.list <- getNodeSet(html, entry.xpath) + opacity.str <- getStyleValue(html, entry.xpath, "opacity") + opacity.num <- as.numeric(opacity.str) + value.vec <- sapply(node.list, xmlValue) + is.setosa <- value.vec == "setosa" + expect_equal(opacity.num[is.setosa], rep(1, 2)) + expect_equal(opacity.num[!is.setosa], rep(0.5, 4)) +}) + +test_that("Current Url is displayed properly",{ + url.xpath <- "//tr[@class='selectorurl']//a" + node <- getNodeSet(html,url.xpath) + href <- xmlValue(node[[1]]) + expect_equal(href,paste0(new_address,'observation={5}')) +}) + +remDr$navigate(old_address) + diff --git a/tests/testthat/test-renderer1-variable-value.R b/tests/testthat/test-renderer1-variable-value.R new file mode 100644 index 000000000..1dba04ffb --- /dev/null +++ b/tests/testthat/test-renderer1-variable-value.R @@ -0,0 +1,337 @@ +acontext("variable value") + +test_that("selector.aes errors when no matching variable for value", { + a.list <- + list(c("clickSelects.variable", "clickSelects2.variable", + "clickSelects2.value"), + c("clickSelects.variable", "clickSelects2.variable", + "clickSelects.value"), + c("showSelected.variable", "showSelected2.variable", + "showSelected2.value"), + c("showSelected.variable", "showSelected2.variable", + "showSelected.value"), + c("clickSelects.variable", "showSelected2.variable", + "clickSelects.value"), + "showSelected.variable", + "showSelected2.variable", + "clickSelects.variable", + "clickSelects2.variable", + "showSelected.value", + "showSelected2.value", + "clickSelects.value", + "clickSelects2.value") + for(a.vec in a.list){ + arg.list <- as.list(paste0("var", seq_along(a.vec))) + names(arg.list) <- a.vec + a <- do.call(aes_string, arg.list) + expect_error({ + selector.aes(a) + }, ".variable or .value aes not found") + } +}) + +problems <- + data.frame(problemStart=c(100, 200, 100, 150, 200, 250), + problemEnd=c(200, 300, 150, 200, 250, 300), + problem.i=c(1, 2, 1, 2, 3, 4), + bases.per.problem=c(100, 100, 50, 50, 50, 50)) +problems$problem.name <- with(problems, { + sprintf("size.%d.problem.%d", bases.per.problem, problem.i) +}) + +sizes <- data.frame(bases.per.problem=c(50, 100), + problems=c(2, 4)) + +problems$peakStart <- problems$problemStart + 10 +problems$peakEnd <- problems$problemEnd - 10 + +samples <- + rbind(data.frame(problems, sample.id="sample1", peaks=1), + data.frame(problems, sample.id="sample1", peaks=2), + data.frame(problems, sample.id="sample2", peaks=2)) + +peaks <- + expand.grid(peaks=0:2, + problem.name=problems$problem.name) +peaks$error.type <- + c("false positive", "false negative", "correct") +rownames(problems) <- problems$problem.name +peaks$bases.per.problem <- + problems[paste(peaks$problem.name), "bases.per.problem"] + +peak.problems <- + rbind(data.frame(problems, peaks=1), + data.frame(problems, peaks=2)) + +one.error <- + data.frame(bases.per.problem=1:10, + errors=rnorm(10), + chunks="one") +two.error <- + data.frame(bases.per.problem=1:10, + errors=rnorm(10), + chunks="two") + +viz <- + list(errorLines=ggplot()+ + scale_color_manual(values=c(one="red", two="black"))+ + scale_size_manual(values=c(one=1, two=2))+ + geom_line(aes(bases.per.problem, errors, + color=chunks, size=chunks), + data=one.error)+ + geom_line(aes(bases.per.problem, errors, + color=chunks, size=chunks), + data=two.error), + + problems=ggplot()+ + ggtitle("select problem")+ + geom_segment(aes(problemStart, problem.i, + clickSelects=problem.name, + showSelected=bases.per.problem, + xend=problemEnd, yend=problem.i), + size=5, + data=data.frame(problems, sample.id="problems"))+ + geom_text(aes(200, 5, + label=paste("problem size", bases.per.problem), + showSelected=bases.per.problem), + data=data.frame(sizes, sample.id="problems"))+ + geom_segment(aes(peakStart, problem.i, + showSelected.variable=paste0(problem.name, "peaks"), + showSelected.value=peaks, + clickSelects=problem.name, + showSelected2=bases.per.problem, + xend=peakEnd, yend=problem.i), + data=data.frame(peak.problems, sample.id="problems"), + size=10, + color="deepskyblue")+ + ## TODO: yend=y=0 as params not aes? + geom_segment(aes(peakStart, 0, + showSelected.variable=paste0(problem.name, "peaks"), + showSelected.value=peaks, + clickSelects=problem.name, + showSelected2=bases.per.problem, + xend=peakEnd, yend=0), + data=samples, + size=10, + color="deepskyblue")+ + theme_bw()+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(sample.id ~ .), + + title="viz with .variable .value", + + sizes=ggplot()+ + ggtitle("select problem size")+ + geom_point(aes(bases.per.problem, problems, + clickSelects=bases.per.problem), + size=10, + data=sizes), + + peaks=ggplot()+ + ggtitle("select number of peaks")+ + geom_point(aes(peaks, peaks, + color=error.type, + id=peaks, + showSelected=problem.name, + showSelected2=bases.per.problem, + clickSelects.variable=paste0(problem.name, "peaks"), + clickSelects.value=peaks), + size=10, + data=peaks)+ + geom_text(aes(1, 3, label=problem.name, + showSelected2=bases.per.problem, + showSelected=problem.name), + data=problems)) + +info <- animint2HTML(viz) + +test_that("No widgets for .variable .value selectors", { + computed.vec <- getSelectorWidgets(info$html) + expected.vec <- c( + "chunks", "problem.name", "bases.per.problem", + "error.type") + expect_identical(sort(computed.vec), sort(expected.vec)) +}) + +circle.xpath <- '//svg[@id="plot_peaks"]//circle' +title.xpath <- paste0(circle.xpath, '//title') + +test_that("clickSelects.variable tooltip/title", { + circle.list <- getNodeSet(info$html, circle.xpath) + expect_equal(length(circle.list), 3) + title.list <- getNodeSet(info$html, title.xpath) + title.vec <- sapply(title.list, xmlValue) + expect_identical(title.vec, paste("size.100.problem.1peaks", 0:2)) +}) + +test_that("two lines rendered in first plot", { + path.list <- getNodeSet( + info$html, '//svg[@id="plot_errorLines"]//g[@class="PANEL1"]//path') + style.strs <- sapply(path.list, function(x) xmlAttrs(x)["style"]) + pattern <- + paste0("(?<name>\\S+?)", + ": *", + "(?<value>.+?)", + ";") + style.matrices <- str_match_all_perl(style.strs, pattern) + size.vec <- sapply(style.matrices, function(m)m["stroke-width", "value"]) + size.num <- as.numeric(sub("px", "", size.vec)) + expect_equal(size.num, c(1, 2)) + color.vec <- sapply(style.matrices, function(m)m["stroke", "value"]) + expect_color(color.vec, c("red", "black")) +}) + +test_that(".variable and .value makes compiler create selectors", { + selector.names <- sort(names(info$selectors)) + problem.selectors <- paste0(problems$problem.name, "peaks") + expected.names <- + sort(c("problem.name", + "error.type", + "chunks", + problem.selectors, + "bases.per.problem")) + expect_identical(selector.names, expected.names) + selected <- sapply(info$selectors[problem.selectors], "[[", "selected") + expect_true(all(selected == "1")) +}) + +test_that(".variable and .value renders correctly at first", { + node.list <- + getNodeSet(info$html, '//g[@class="geom6_segment_problems"]//line') + expect_equal(length(node.list), 2) +}) + +test_that("clicking reduces the number of peaks", { + no.peaks.html <- clickHTML(id=0) + node.list <- + getNodeSet(no.peaks.html, '//g[@class="geom6_segment_problems"]//line') + expect_equal(length(node.list), 1) +}) + +test_that("clicking increases the number of peaks", { + more.peaks.html <- clickHTML(id=2) + node.list <- + getNodeSet(more.peaks.html, '//g[@class="geom6_segment_problems"]//line') + expect_equal(length(node.list), 3) +}) + +viz.for <- + list(problems=ggplot()+ + ggtitle("select problem")+ + geom_segment(aes(problemStart, problem.i, + clickSelects=problem.name, + showSelected=bases.per.problem, + xend=problemEnd, yend=problem.i), + size=5, + data=data.frame(problems, sample.id="problems"))+ + geom_text(aes(200, 5, + label=paste("problem size", bases.per.problem), + showSelected=bases.per.problem), + data=data.frame(sizes, sample.id="problems"))+ + theme_bw()+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(sample.id ~ .), + + title="viz with for loop", + + sizes=ggplot()+ + ggtitle("select problem size")+ + geom_point(aes(bases.per.problem, problems, + clickSelects=bases.per.problem), + size=10, + data=sizes), + + peaks=ggplot()+ + ggtitle("select number of peaks")+ + geom_text(aes(1, 3, label=problem.name, + showSelected=problem.name), + data=problems)) + +pp.list <- split(peak.problems, peak.problems$problem.name) +s.list <- split(samples, samples$problem.name) +p.list <- split(peaks, peaks$problem.name) + +for(problem.name in names(p.list)){ + s.name <- paste0(problem.name, "peaks") + p <- p.list[[problem.name]] + p[[s.name]] <- p$peaks + pp <- pp.list[[problem.name]] + pp[[s.name]] <- pp$peaks + ## need problem.underscore since a proper CSS id (as recognized by + ## phantomJS) does not have dots! + pp$problem.nodots <- gsub("[.]", "", pp$problem.name) + s <- s.list[[problem.name]] + s[[s.name]] <- s$peaks + p$bases.per.problem <- pp$bases.per.problem[1] + viz.for$problems <- viz.for$problems+ + geom_segment(aes_string("peakStart", "problem.i", + id="problem.nodots", + showSelected=s.name, + clickSelects="problem.name", + showSelected2="bases.per.problem", + xend="peakEnd", yend="problem.i"), + data=data.frame(pp, sample.id="problems"), + size=10, + color="deepskyblue")+ + geom_segment(aes_string("peakStart", "0", + showSelected=s.name, + clickSelects="problem.name", + showSelected2="bases.per.problem", + xend="peakEnd", yend="0"), + data=s, + size=10, + color="deepskyblue") + viz.for$peaks <- viz.for$peaks+ + geom_point(aes_string("peaks", "peaks", + showSelected="problem.name", + showSelected2="bases.per.problem", + clickSelects=s.name), + size=10, + data=p) +} + +info <- animint2HTML(viz.for) + +test_that("Widgets for regular selectors", { + computed.vec <- getSelectorWidgets(info$html) + expected.vec <- c( + "problem.name", "bases.per.problem", + "size.100.problem.1peaks", "size.100.problem.2peaks", + "size.50.problem.1peaks", "size.50.problem.2peaks", + "size.50.problem.3peaks", "size.50.problem.4peaks") + expect_identical(sort(computed.vec), sort(expected.vec)) +}) + +chunk.counts <- function(html=getHTML()){ + node.set <- + getNodeSet(html, '//td[@class="downloaded"]') + as.integer(sapply(node.set, xmlValue)) +} + +test_that("counts of chunks downloaded or not at first", { + value.vec <- chunk.counts() + expect_equal(value.vec, + c(1, 1, 1, 1, 1, 1, + 0, 0, 0, 0, 0, 0, 0, 0, + 1, 1, 1, + 0, 0, 0, 0, 0)) +}) + +test_that("changing problem downloads one chunk", { + clickID('size100problem2') + Sys.sleep(1) + value.vec <- chunk.counts() + expect_equal(value.vec, + c(1, 1, 1, 1, 1, 1, + 0, 0, 0, 0, 0, 0, 0, 0, + 1, 1, 1, 1, + 0, 0, 0, 0)) +}) + +test_that("clickSelects tooltip/title", { + circle.list <- getNodeSet(info$html, circle.xpath) + expect_equal(length(circle.list), 3) + title.list <- getNodeSet(info$html, title.xpath) + title.vec <- sapply(title.list, xmlValue) + expect_identical(title.vec, paste("size.100.problem.1peaks", 0:2)) +}) diff --git a/tests/testthat/test-renderer2-ChromHMMiterations.R b/tests/testthat/test-renderer2-ChromHMMiterations.R new file mode 100644 index 000000000..9a9fdd5d0 --- /dev/null +++ b/tests/testthat/test-renderer2-ChromHMMiterations.R @@ -0,0 +1,67 @@ +acontext("ChromHMMiterations data set") + +data(ChromHMMiterations, package = "animint") + +emission <- data.frame(ChromHMMiterations$emission, parameters="emission") +transition <- data.frame(ChromHMMiterations$transition, parameters="transition") + +viz <- list( + parameters=ggplot()+ + ggtitle("parameters at selected iteration")+ + scale_fill_gradient(low="white", high="blue")+ + geom_tile(aes(state, experiment, fill=frequency, + key=paste(state, experiment), + showSelected=iteration), + data=emission)+ + scale_color_gradient(low="white", high="red")+ + theme_bw()+ + theme_animint(height=600, width=350)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(parameters ~ ., + space="free", + scales="free_y")+ + scale_y_discrete(drop=FALSE)+ + geom_point(aes(state.to, state.from, color=probability, + key=paste(state.from, state.to), + showSelected=iteration), + size=10, + data=transition), + metrics=ggplot()+ + ggtitle("convergence metrics, select iteration")+ + make_tallrect(ChromHMMiterations$metrics, "iteration")+ + geom_line(aes(iteration, metric.value), + data=ChromHMMiterations$metrics)+ + theme_bw()+ + theme_animint(height=500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(metric.name ~ ., scales="free_y"), + duration=list(iteration=500), + first=list(iteration=100), + title="ChromHMM parameter fitting for one iPS sample") + +expect_no_warning({ + info <- animint2HTML(viz) +}) + +test_that("no vertical space between border_rects", { + rect.list <- getNodeSet( + info$html, '//svg[@id="plot_parameters"]//rect[@class="border_rect"]') + expect_equal(length(rect.list), 2) + first <- xmlAttrs(rect.list[[1]]) + first.bottom <- as.numeric(first[["y"]])+as.numeric(first[["height"]]) + second <- xmlAttrs(rect.list[[2]]) + second.top <- as.numeric(second[["y"]]) + expect_equal(first.bottom, second.top) +}) + +test_that("fill not constant in probability legend and circles", { + fill.vec <- getStyleValue( + info$html, '//svg[@id="plot_parameters"]//circle', "fill") + expect_true(1 < length(table(fill.vec))) + fill.vec <- getStyleValue( + info$html, '//tr[@class="probability_variable"]//circle', "fill") + expect_true(1 < length(table(fill.vec))) +}) + + + diff --git a/tests/testthat/test-renderer2-PredictedPeaks.R b/tests/testthat/test-renderer2-PredictedPeaks.R new file mode 100644 index 000000000..500b3465c --- /dev/null +++ b/tests/testthat/test-renderer2-PredictedPeaks.R @@ -0,0 +1,291 @@ +acontext("PredictedPeaks data set") + +require(httr) +PredictedPeaks.RData <- file.path(tempdir(), "PredictedPeaks.RData") +request <- GET("http://github.com/tdhock/animint-examples/blob/master/data/PredictedPeaks.RData?raw=true") +stop_for_status(request) +writeBin(content(request), PredictedPeaks.RData) +## If we don't load this data set into the global environment, then we +## get Error in eval(expr, envir, enclos) (from helper-functions.R#5) +## : object 'PredictedPeaks' not found +load(PredictedPeaks.RData, .GlobalEnv) + +hover.dots <- subset(PredictedPeaks$chromCounts, nonInputType==type) + +viz <- list( + oneChrom=ggplot()+ + ggtitle("PeakSegJoint detections on selected chromosome")+ + theme_bw()+ + coord_cartesian(xlim=c(0, 1))+ + theme_animint(width=1500, height=100)+ + theme(axis.line.x=element_blank(), axis.text.x=element_blank(), + axis.ticks.x=element_blank(), axis.title.x=element_blank())+ + ## geom_text(aes(relative.middle, type.fac, label=samples.up, + ## clickSelects=peak.name, + ## showSelected2=chrom, + ## showSelected=dotID), + ## size=11, + ## data=PredictedPeaks$chromCounts)+ + geom_text(aes(relative.middle, type.fac, label=samples.up, + href=paste0( + "http://genome.ucsc.edu/cgi-bin/hgTracks?db=hg19&position=", + chrom, ":", zoomStart, "-", zoomEnd), + showSelected2=chrom, + showSelected=dotID), + size=11, + data=PredictedPeaks$chromCounts)+ + scale_y_discrete("cell type", drop=FALSE), + chroms=ggplot()+ + theme_bw()+ + theme_animint(width=1500, height=330)+ + scale_y_discrete("chromosome", drop=FALSE)+ + scale_x_continuous("position on chromosome (mega bases)")+ + geom_text(aes(0, chrom, label=paste0(peaks, "_"), + clickSelects=chrom, + showSelected=dotID), + hjust=1, + size=11, + data=PredictedPeaks$countsByChrom)+ + geom_segment(aes(chromStart/1e6, chrom, + clickSelects=chrom, + xend=chromEnd/1e6, yend=chrom), + size=9, + data=PredictedPeaks$chrom.ranges)+ + geom_point(aes(chromEnd/1e6, chrom, + id=chrom, + clickSelects=chrom), + size=5, + data=PredictedPeaks$chrom.ranges)+ + geom_text(aes(max(PredictedPeaks$chrom.ranges$chromEnd)/2e6, chrom, + showSelected=dotID, + label=totals), + data=PredictedPeaks$scatter.text), + scatter=ggplot()+ + geom_hline(aes(yintercept=N), + color="grey", + data=PredictedPeaks$counts.Input)+ + scale_x_continuous("number of samples with a peak")+ + facet_grid(nonInputType ~ .)+ + theme_bw()+ + scale_fill_gradient(low="grey", high="red")+ + theme_animint(width=1500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + geom_vline(aes(xintercept=N), + color="grey", + data=PredictedPeaks$counts.not.Input)+ + geom_rect(aes(xmin=up-size, xmax=up+size, + ymin=Input-size, ymax=Input+size, + tooltip=totals, + clickSelects=dotID, + showSelected=chrom, + fill=log10(count)), + color="transparent", + data=PredictedPeaks$bg.rect), + first=list(dotID="38 neutro samples, 1 Input samples", chrom="chr16")) + +info <- animint2HTML(viz) + +## Simulate mouseover using javascript? + +## myScript <- 'myObj = document.getElementById("chrM"); +## myArray = []; +## for(var b in myObj) { +## myArray.push(b); +## } +## return myArray;' +## remDr$executeScript(myScript) +## remDr$executeScript('return document.getElementById("chrM").onmouseover();') + +## Simulate mouseover using RSelenium? + +## e <- remDr$findElement("id", "chrM") +## remDr$mouseMoveToLocation(webElement=e) + +## e <- remDr$findElement("id", "chrY") +## remDr$mouseMoveToLocation(webElement=e) + +## getStyleValue(getHTML(), '//g[@class="geom4_point_chroms"]//circle', "opacity") + +## getNodeSet(getHTML(), '//g[@class="geom4_point_chroms"]//circle') + +test_that("without selectize option, only render chrom widget", { + widget.vec <- getSelectorWidgets(info$html) + expect_identical(widget.vec, "chrom") +}) + +getSorted <- function(){ + text.list <- getNodeSet(getHTML(), '//g[@class="geom1_text_oneChrom"]//text') + value.vec <- sapply(text.list, xmlValue) + sort(as.numeric(value.vec)) +} + +test_that("initially 2 text elements rendered", { + num.vec <- getSorted() + expect_equal(num.vec, c(1, 38)) +}) + +clickID("chrM") +Sys.sleep(1) + +exp.vec <- c(1, 14, 38) + +test_that("3 elements rendered (first time)", { + num.vec <- getSorted() + expect_equal(num.vec, exp.vec) +}) + +clickID("chrY") +Sys.sleep(1) + +clickID("chrM") +Sys.sleep(1) + +test_that("3 elements rendered (second time)", { + num.vec <- getSorted() + expect_equal(num.vec, exp.vec) +}) + +thresh.df <- data.frame(max.input.samples=9, thresh.type="specific") +PredictedPeaks$counts.not.Input$thresh.type <- "max samples" +PredictedPeaks$counts.Input$thresh.type <- "max samples" + +viz <- list( + oneChrom=ggplot()+ + ggtitle("PeakSegJoint detections on selected chromosome")+ + theme_bw()+ + coord_cartesian(xlim=c(0, 1))+ + theme_animint(width=1500, height=100)+ + theme(axis.line.x=element_blank(), axis.text.x=element_blank(), + axis.ticks.x=element_blank(), axis.title.x=element_blank())+ + geom_text(aes(relative.middle, type.fac, label=samples.up, + clickSelects=peak.name, + showSelected2=chrom, + showSelected=dotID), + size=11, + data=PredictedPeaks$chromCounts)+ + scale_y_discrete("cell type", drop=FALSE), + chroms=ggplot()+ + theme_bw()+ + theme_animint(width=1500, height=330)+ + scale_y_discrete("chromosome", drop=FALSE)+ + scale_x_continuous("position on chromosome (mega bases)")+ + geom_text(aes(0, chrom, label=paste0(peaks, "_"), + clickSelects=chrom, + showSelected=dotID), + hjust=1, + size=11, + data=PredictedPeaks$countsByChrom)+ + geom_segment(aes(chromStart/1e6, chrom, + clickSelects=chrom, + xend=chromEnd/1e6, yend=chrom), + size=9, + data=PredictedPeaks$chrom.ranges)+ + geom_point(aes(chromEnd/1e6, chrom, + id=chrom, + clickSelects=chrom), + size=5, + data=PredictedPeaks$chrom.ranges)+ + geom_text(aes(max(PredictedPeaks$chrom.ranges$chromEnd)/2e6, chrom, + showSelected=dotID, + label=totals), + data=PredictedPeaks$scatter.text), + scatter=ggplot()+ + geom_vline(aes(xintercept=N, color=thresh.type), + data=PredictedPeaks$counts.not.Input)+ + scale_color_manual("threshold", values=c( + "max samples"="grey", + specific="grey30"))+ + geom_hline(aes(yintercept=max.input.samples+0.5, color=thresh.type), + show.legend=TRUE, + data=thresh.df)+ + geom_hline(aes(yintercept=N, color=thresh.type), + show.legend=TRUE, + data=PredictedPeaks$counts.Input)+ + scale_x_continuous("number of samples with a peak")+ + facet_grid(nonInputType ~ .)+ + theme_bw()+ + scale_fill_gradient(low="grey", high="red")+ + theme_animint(width=1500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + geom_rect(aes(xmin=up-size, xmax=up+size, + ymin=Input-size, ymax=Input+size, + tooltip=totals, + clickSelects=dotID, + showSelected=chrom, + fill=log10(count)), + color="transparent", + data=PredictedPeaks$bg.rect)+ + geom_point(aes(up, Input, + showSelected=peak.name), + data=hover.dots), + selectize=list(dotID=TRUE, chrom=FALSE), + first=list(dotID="38 neutro samples, 1 Input samples", chrom="chr16")) + +## TODO:href + hoverselects! + +info <- animint2HTML(viz) + +test_that("selectize option respected", { + widget.vec <- getSelectorWidgets(info$html) + expected.widgets <- c("dotID", "thresh.type") + expect_identical(sort(widget.vec), sort(expected.widgets)) +}) + +test_that("rects rendered in fill legend", { + rect.list <- getNodeSet( + info$html, '//tr[@class="log10(count)_variable"]//rect') + expect_equal(length(rect.list), 5) +}) + +test_that("no lines rendered in fill legend", { + line.list <- getNodeSet( + info$html, '//tr[@class="log10(count)_variable"]//line') + expect_equal(length(line.list), 0) +}) + +test_that("lines in color legend", { + line.list <- getNodeSet( + info$html, '//tr[@class="thresh_type_variable"]//line') + expect_equal(length(line.list), 2) +}) + +specific_hlines <- function(html=getHTML()){ + getNodeSet(html, '//g[@class="geom7_hline_scatter"]//line') +} + +specific.id <- "plot_scatter_thresh_type_variable_specific" +xpath <- sprintf('//td[@id="%s_label"]', specific.id) +specific_opacity <- function(html=getHTML()){ + as.numeric(getStyleValue(html, xpath, "opacity")) +} + +test_that("initially rendered hlines", { + line.list <- specific_hlines(info$html) + expect_equal(length(line.list), 2) + computed.opacity <- specific_opacity(info$html) + expect_equal(computed.opacity, 1) +}) + +test_that("hlines after clicking specific", { + html <- clickHTML(id=specific.id) + line.list <- specific_hlines(html) + expect_equal(length(line.list), 0) + computed.opacity <- specific_opacity(html) + expect_equal(computed.opacity, 0.5) +}) + +test_that("hlines after clicking specific again", { + html <- clickHTML(id=specific.id) + line.list <- specific_hlines(html) + expect_equal(length(line.list), 2) + computed.opacity <- specific_opacity(html) + expect_equal(computed.opacity, 1) +}) + +## e <- remDr$findElement("class name", "show_hide_selector_widgets") +## e$clickElement() + +## remDr$findElements("class name", "selectize-input") + +## It takes a long time to render the selectize widget with many +## levels, why? diff --git a/tests/testthat/test-renderer2-VariantModels.R b/tests/testthat/test-renderer2-VariantModels.R new file mode 100644 index 000000000..42f9960e3 --- /dev/null +++ b/tests/testthat/test-renderer2-VariantModels.R @@ -0,0 +1,338 @@ +acontext("VariantModels data viz") + +data(VariantModels, package = "animint") + +auc.min.error <- subset(VariantModels$auc, metric.name=="min.error") + +add.filterVar <- function(df, levs){ + df$filterVar.fac <- factor(df$filterVar, levs) + df +} +add.filterVar.fac <- function(df){ + add.filterVar(df, rev(paste(VariantModels$ranks$filterVar))) +} +add.filterVar.rev <- function(df){ + add.filterVar(df, paste(VariantModels$ranks$filterVar)) +} + +thresh.colors <- c("min error"="black", selected="white") +method.colors <- + c(knn="#8DD3C7", #green + "#FFFFB3", #yellow + svmRadial="#BEBADA", #pale violet + ada="#FB8072", #pink-orange + gbm="#FB8072", #pink-orange + glmnet="#80B1D3", #blue + glmnetBinDev="#80B1D3", #blue + glmnetAcc="#80B1D3", #blue + MQ="#FDB462", #orange + QUAL="#B3DE69", #green + NegFQ="#FCCDE5", #pink-violet + DP="#D9D9D9", #grey + rf="#BC80BD", #purple + "#CCEBC5", #greenish yellow + "#FFED6F") #gold +fp.fn.colors <- c(FP="skyblue", + fp="skyblue", + fn="#E41A1C", + FN="#E41A1C", + tn="white", + tp="grey", + errors="black") + +first.list <- with(auc.min.error, { + structure(as.list(threshold), names=paste0(filterVar, "_fold", test.fold)) +}) +first.list$test.fold <- 2 + +minima.df <- VariantModels$minima +minima.df$thresh.type <- "min error" + +viz <- list( + auc=ggplot()+ + ggtitle("Performance on 3 test folds")+ + theme_bw()+ + theme_animint(height=500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(.~metric.name, scales="free", space="fixed")+ + scale_y_discrete("method . weights")+ + scale_x_continuous("")+ + scale_color_manual(values=method.colors, guide="none")+ + scale_fill_manual("threshold", values=thresh.colors, guide="none")+ + geom_point(aes(metric.value, filterVar.fac, color=method, + fill=thresh.type, + showSelected=method, + showSelected2=thresh.type, + clickSelects=test.fold), + size=5, + pch=21, + data=add.filterVar.rev(VariantModels$auc))+ + geom_point(aes( + error.or.Inf, + filterVar.fac, + showSelected=test.fold, + key=filterVar, + showSelected2=thresh.type, + showSelected3=method, + showSelected.variable=paste0(filterVar, "_fold", test.fold), + showSelected.value=threshold, + fill=thresh.type, color=method), + size=4, + pch=21, + data=add.filterVar.rev(VariantModels$roc)), + roc=ggplot()+ + ggtitle("ROC curves by weights and test fold")+ + scale_y_continuous("True positive rate")+ + scale_x_continuous("False positive rate", + breaks=c(0, 0.25, 0.5, 0.75, 1), + labels=c("0", "0.25", "0.5", "0.75", "1"))+ + scale_color_manual(values=method.colors)+ + coord_equal()+ + theme_bw()+ + theme_animint(width=500, height=500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(test.fold ~ type, labeller=function(label_df){ + if(names(label_df)=="test.fold"){ + label_names <- mapply(paste, "test fold", label_df, SIMPLIFY = FALSE) + label_context(labels = label_names) + }else{ + lapply(label_df, paste) + } + })+ + geom_path(aes(FPR, TPR, clickSelects=test.fold, + ##showSelected=method, #not needed! + group=method, tooltip=method, color=method), + size=5, + data=VariantModels$roc)+ + scale_fill_manual("threshold", values=thresh.colors)+ + geom_point(aes(FPR, TPR, color=method, + ##showSelected=method, #not needed! + clickSelects=test.fold, + fill=thresh.type), + pch=21, + size=4, + data=subset(VariantModels$auc, metric.name=="auc"))+ + geom_point(aes( + FPR, TPR, clickSelects=test.fold, + key=method, + showSelected=test.fold, + showSelected.variable=paste0(filterVar, "_fold", test.fold), + showSelected.value=threshold, + ##showSelected=method, #not needed! + fill=thresh.type, + color=method), + size=3, + pch=21, + data=VariantModels$roc), + error=ggplot()+ + geom_hline(aes(yintercept=min.errors, + showSelected2=thresh.type, + showSelected=test.fold), + data=minima.df, + color="grey50")+ + geom_vline(aes(xintercept=threshold, + showSelected2=method, + showSelected3=thresh.type, + showSelected=test.fold), + data=add.filterVar.fac(auc.min.error), + color="grey50")+ + theme_bw()+ + theme_animint(width=1800, height=500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + theme(axis.text.x=element_text(angle=90))+ + facet_grid(. ~ filterVar.fac, labeller=function(label_df){ + label_df <- mapply(sub, "balanced", "b", label_df, SIMPLIFY = FALSE) + label_df <- mapply(sub, "one", "1", label_df, SIMPLIFY = FALSE) + label_value(label_df) + }, scales="free", space="fixed")+ + scale_color_manual(values=fp.fn.colors)+ + geom_line(aes(threshold, error.value, + showSelected=test.fold, + showSelected2=method, + showSelected3=thresh.type, + group=error.type, color=error.type), + data=add.filterVar.fac(VariantModels$error))+ + scale_fill_manual(values=method.colors, guide="none")+ + geom_tallrect(aes( + xmin=xmin, xmax=xmax, + showSelected=test.fold, + showSelected2=method, + showSelected3=thresh.type, + clickSelects.variable=paste0(filterVar.fac, "_fold", test.fold), + clickSelects.value=threshold, + fill=method), + alpha=0.5, + color=NA, + data=add.filterVar.fac(VariantModels$thresholds)), + selector.types=list(method="multiple", thresh.type="multiple"), + title="3-fold CV estimates variant calling test error", + first=first.list, + duration=with(auc.min.error, { + structure(as.list(rep(2000, length(threshold))), + names=paste0(filterVar, "_fold", test.fold)) + }) +) + +info <- animint2HTML(viz) + +viz$error+ + facet_grid(test.fold ~ filterVar.fac, labeller=function(label_df){ + if(names(label_df)=="test.fold"){ + label_names <- mapply(paste, "test fold", label_df, SIMPLIFY = FALSE) + label_context(labels = label_names) + }else{ + lapply(label_df, paste) + } + }, scales="free", space="fixed") + +test_that("no duplicated rows in common data", { + common.tsv <- file.path("animint-htmltest", "geom8_line_error_chunk_common.tsv") + common.df <- read.table(common.tsv, comment.char="", header=TRUE) + common.unique <- unique(common.df) + expect_identical(common.unique, common.df) +}) + +test_that("error lines rendered in all panels", { + panel.list <- getNodeSet(info$html, '//g[@class="geom8_line_error"]//g') + computed.counts <- sapply(panel.list, function(x)length(xmlChildren(x))) + expected.counts <- rep(3, 20) + expect_equal(computed.counts, expected.counts) +}) + +xpath.vec <- + c('//g[@class="geom1_point_auc"]//circle', + '//g[@class="geom2_point_auc"]//circle', + '//g[@class="geom3_path_roc"]//path', + '//g[@class="geom4_point_roc"]//circle', + '//g[@class="geom5_point_roc"]//circle', + '//g[@class="geom6_hline_error"]//line', + '//g[@class="geom7_vline_error"]//line', + '//g[@class="geom8_line_error"]//path', + '//g[@class="geom9_tallrect_error"]//rect') + +countGeoms <- function(html=getHTML()){ + count.vec <- c() + for(xpath in xpath.vec){ + node.list <- getNodeSet(html, xpath) + count.vec[[xpath]] <- length(node.list) + } + count.vec +} + +thresh.fold2 <- subset(VariantModels$thresholds, test.fold==2) + +test_that("initial geom counts", { + expected.counts <- c(120, 20, 60, 60, 20, 20, 20, 60, nrow(thresh.fold2)) + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_method_variable_MQ") + +thresh.fold2.not.MQ <- subset(thresh.fold2, method != "MQ") + +test_that("geom counts after hiding MQ", { + expected.counts <- c( + 114, 19, #circles in first plot + 57, 57, # path and circle in second + 19, # selected circle in second + 20, #hline + 19, #vline + 57, #path + nrow(thresh.fold2.not.MQ)) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_thresh_type_variable_min_error") + +test_that("geom counts after hiding min error", { + expected.counts <- c( + 0, 19, #circles in first plot + 57, 0, # path and circle in second + 19, # selected circle in second + 0, #hline + 0, #vline + 57, #path + nrow(thresh.fold2.not.MQ)) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_thresh_type_variable_selected") + +test_that("geom counts after hiding selected", { + expected.counts <- c( + 0, 0, #circles in first plot + 57, 0, # path and circle in second + 0, # selected circle in second + 0, #hline + 0, #vline + 0, #path + 0) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_thresh_type_variable_min_error") + +test_that("geom counts after showing min error", { + expected.counts <- c( + 114, 0, #circles in first plot + 57, 57, # path and circle in second + 0, # selected circle in second + 20, #hline + 19, #vline + 0, #path + 0) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_method_variable_knn") + +test_that("geom counts after hiding knn", { + expected.counts <- c( + 102, 0, #circles in first plot + 51, 51, # path and circle in second + 0, # selected circle in second + 20, #hline + 17, #vline + 0, #path + 0) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_roc_thresh_type_variable_selected") + +thresh.fold2.not.knn <- subset(thresh.fold2.not.MQ, method != "knn") + +test_that("geom counts after showing selected", { + expected.counts <- c( + 102, 17, #circles in first plot + 51, 51, # path and circle in second + 17, # selected circle in second + 20, #hline + 17, #vline + 51, #path + nrow(thresh.fold2.not.knn)) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + +clickID("plot_error_error_type_variable_errors") + +test_that("geom counts after hiding errors", { + expected.counts <- c( + 102, 17, #circles in first plot + 51, 51, # path and circle in second + 17, # selected circle in second + 20, #hline + 17, #vline + 34, #path + nrow(thresh.fold2.not.knn)) #rect + computed.counts <- countGeoms() + expect_equal(expected.counts, as.numeric(computed.counts)) +}) + diff --git a/tests/testthat/test-renderer2-interactive-legends.R b/tests/testthat/test-renderer2-interactive-legends.R new file mode 100644 index 000000000..11e09fe76 --- /dev/null +++ b/tests/testthat/test-renderer2-interactive-legends.R @@ -0,0 +1,230 @@ +acontext("Interactive Legends") + +## extract all <circle> elements under a particular <svg> element. +get_circles <- function(id) { + getNodeSet(getHTML(), paste0("//svg[@id='plot_", id, "']//circle")) +} + +iris$id <- 1:nrow(iris) +p1 <- ggplot() + + guides(color="none")+ + geom_point(aes(Sepal.Length, Sepal.Width, colour = Species, + size = Petal.Width, clickSelects = Species, id = id), + data = iris) + + facet_wrap(~Species, nrow = 2) + + ggtitle("Sepal Data") +p2 <- ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species, + size = Sepal.Width, showSelected = Species)) + + geom_point() + + ggtitle("Petal Data") + +viz <- list(sepal = p1, + petal = p2) +info <- animint2HTML(viz) + +test_that("compiler adds selector.types and first", { + expect_match(info$selector.types$Species, "multiple") + expect_true(all({ + info$first$Species %in% c("setosa", "virginica", "versicolor") + })) +}) + +test_that("all points are initially drawn", { + expect_equal(length(get_circles("sepal")), 150) + expect_equal(length(get_circles("petal")), 150) +}) + +test_that("clicking species legend adds and removes points", { + # virginica points are removed + clickID("plot_petal_Species_variable_virginica") + expect_equal(length(get_circles("sepal")), 150) + expect_equal(length(get_circles("petal")), 100) + # virginica points are added back + clickID("plot_petal_Species_variable_virginica") + expect_equal(length(get_circles("sepal")), 150) + expect_equal(length(get_circles("petal")), 150) +}) + +test_that("clicking sepal.width legend does nothing", { + clickID("plot_petal_Sepal_Width_variable_2_5") + expect_equal(length(get_circles("sepal")), 150) + expect_equal(length(get_circles("petal")), 150) +}) + +test_that("clicking Sepal point doesn't affect sepal plot", { + clickID("51") + expect_equal(length(get_circles("petal")), 100) + expect_equal(length(get_circles("sepal")), 150) +}) + +mtcars$am <- factor(mtcars$am) +p <- qplot(data=mtcars, mpg, hp, color = am) +info <- animint2HTML(list(p = p)) + +test_that("A plot with no show/click aes and a legend should be clickable", { + expect_equal(length(get_circles("p")), 32) + clickID("plot_p_am_variable_0") + expect_equal(length(get_circles("p")), 13) + clickID("plot_p_am_variable_0") + expect_equal(length(get_circles("p")), 32) +}) + +viz <- list(p=qplot(data=mtcars, mpg, hp, color = factor(vs))) + +test_that("aes(color=factor(vs)) is an error", { + expect_error({ + info <- animint2HTML(viz) + }, "need exactly 1 variable name") +}) + +mtcars$vs.num <- as.numeric(mtcars$vs) +mtcars$vs.fac <- factor(mtcars$vs) +mtcars$vs.fac2 <- factor(mtcars$vs) +seg <- data.frame(x=15, y=100, xend=30, yend=100, vs=1) +viz <- list( + numeric=ggplot()+ + geom_point(aes(mpg, hp, color = vs, fill=vs), + data=mtcars)+ + geom_segment(aes(x, y, xend=xend, yend=yend, color=vs), + data=seg), + factor=ggplot()+ + geom_point(aes(mpg, hp, color = vs.fac, fill=vs.fac), + data=mtcars)+ + geom_segment(aes(x, y, xend=xend, yend=yend), + data=seg) + ) + +test_that("Two plots with both color and fill", { + info <- animint2HTML(viz) + expect_equal(length(get_circles("factor")), 32) + clickID("plot_factor_vs_fac_variable_0") + expect_equal(length(get_circles("factor")), 14) + clickID("plot_factor_vs_fac_variable_0") + expect_equal(length(get_circles("factor")), 32) + td.list <- getNodeSet( + info$html, '//tr[@class="vs_variable"]//td[@class="legend_entry_label"]') + value.vec <- sapply(td.list, xmlValue) + expect_identical(value.vec, c("1.00", "0.75", "0.50", "0.25", "0.00")) + style.mat <- getStyleValue( + info$html, '//table[@class="legend"]//circle', c("fill", "stroke")) + expect_identical(style.mat["fill", ], style.mat["stroke", ]) + ## Make sure lines are rendered in the first but not second legend: + left.lines <- getNodeSet(info$html, '//tr[@class="vs_variable"]//line') + expect_equal(length(left.lines), 5) + right.lines <- getNodeSet(info$html, '//tr[@class="vs_fac_variable"]//line') + expect_equal(length(right.lines), 0) + right.circles <- getNodeSet( + info$html, '//tr[@class="vs_fac_variable"]//circle') + expect_equal(length(right.circles), 2) + ## Lines should be rendered in both plots: + left.lines <- + getNodeSet(info$html, '//g[@class="geom2_segment_numeric"]//line') + expect_equal(length(left.lines), 1) + right.lines <- + getNodeSet(info$html, '//g[@class="geom4_segment_factor"]//line') + expect_equal(length(right.lines), 1) +}) + +viz <- list( + vs=ggplot()+ + geom_point(aes(mpg, hp, fill=factor(vs)), + color="black", + data=mtcars), + am=ggplot()+ + geom_point(aes(mpg, hp, fill=factor(am)), + color="black", + data=mtcars) + ) + +test_that("two plots with different aes(fill=factor(var))", { + expect_error({ + info <- animint2HTML(viz) + }, "need exactly 1 variable name") +}) + +vs0 <- subset(mtcars, vs == 0) +vs1 <- subset(mtcars, vs == 1) +viz <- list( + p=ggplot()+ + scale_color_discrete("vs")+ + geom_point(aes(mpg, hp, color = "vs0"), + data=vs0)+ + geom_point(aes(mpg, hp, color = "vs1"), + data=vs1)) + +test_that('aes(color="constant") is an error"', { + expect_error({ + info <- animint2HTML(viz) + }, "need exactly 1 variable name") +}) + +viz <- list( + p=ggplot()+ + geom_point(aes(mpg, hp, color = vs.num), + data=vs0)+ + geom_point(aes(mpg, hp, color = vs), + data=vs1)) +test_that('aes(color=vs) aes(color=vs.num) is OK"', { + info <- animint2HTML(viz) + expect_equal(length(get_circles("p")), 32) + tr.list <- getNodeSet(info$html, '//tr[@class="vs_num_legend"]') + attr.mat <- sapply(tr.list, "xmlAttrs") + expect_false("title" %in% rownames(attr.mat)) + expect_false("style" %in% rownames(attr.mat)) +}) + +viz <- list( + p=ggplot()+ + geom_point(aes(mpg, hp, color = vs.num, fill=vs.fac), + shape=21, + data=vs0)+ + geom_point(aes(mpg, hp, color = vs, fill=vs.fac), + shape=21, + data=vs1)) +test_that('aes(color=vs, fill=vs.fac) aes(color=vs.num, fill=vs.fac) is OK"', { + info <- animint2HTML(viz) + expect_equal(length(get_circles("p")), 32) + clickID("plot_p_vs_fac_variable_0") + expect_equal(length(get_circles("p")), 14) + clickID("plot_p_vs_fac_variable_0") + expect_equal(length(get_circles("p")), 32) + ## Stroke should be constant in the fill legend: + style.mat <- getStyleValue( + info$html, '//tr[@class="vs_fac_variable"]//circle', c("fill", "stroke")) + expected.stroke <- rep(style.mat[["stroke", 1]], ncol(style.mat)) + expect_identical(style.mat["stroke", ], expected.stroke) + ## Fill should be constant in the stroke legend: + style.mat <- getStyleValue( + info$html, '//tr[@class="vs_num_variable"]//circle', c("fill", "stroke")) + expected.fill <- rep(style.mat[["fill", 1]], ncol(style.mat)) + expect_identical(style.mat["fill", ], expected.fill) +}) + +viz <- list( + p=ggplot()+ + scale_color_discrete("vs")+ + geom_point(aes(mpg, hp, color = vs.fac), + data=vs0)+ + geom_point(aes(mpg, hp, color = vs.fac), + data=vs1)) +test_that('aes(color=vs.fac) is OK"', { + info <- animint2HTML(viz) + expect_equal(length(get_circles("p")), 32) + clickID("plot_p_vs_fac_variable_0") + expect_equal(length(get_circles("p")), 14) + clickID("plot_p_vs_fac_variable_0") + expect_equal(length(get_circles("p")), 32) +}) + +viz <- list( + p=ggplot()+ + scale_color_discrete("vs")+ + geom_point(aes(mpg, hp, color = vs.fac), + data=vs0)+ + geom_point(aes(mpg, hp, color = vs.fac2), + data=vs1)) +test_that('aes(color=something), aes(color=something.else) is an error"', { + expect_error({ + info <- animint2HTML(viz) + }, "need exactly 1 variable name") +}) diff --git a/tests/testthat/test-renderer2-interactivity.R b/tests/testthat/test-renderer2-interactivity.R new file mode 100644 index 000000000..37328fe36 --- /dev/null +++ b/tests/testthat/test-renderer2-interactivity.R @@ -0,0 +1,245 @@ +acontext("interactivity") + +## Example: 2 plots, 2 selectors, but only interacting with 1 plot. +data(breakpoints, package = "animint") +only.error <- subset(breakpoints$error,type=="E") +only.segments <- subset(only.error, samples==samples[1]) +signal.colors <- c(estimate="#0adb0a", + latent="#0098ef") +breakpointError <- list( + signal=ggplot()+ + geom_point(aes(position, signal, showSelected=samples), + data=breakpoints$signals)+ + geom_line(aes(position, signal), colour=signal.colors[["latent"]], + data=breakpoints$imprecision)+ + geom_segment(aes(first.base, mean, xend=last.base, yend=mean, + showSelected=segments, + showSelected2=samples), + colour=signal.colors[["estimate"]], + data=breakpoints$segments)+ + geom_vline(aes(xintercept=base, + showSelected=segments, + showSelected2=samples), + colour=signal.colors[["estimate"]], + linetype="dashed", + data=breakpoints$breaks), + points=ggplot()+ + geom_point(aes(samples, error, + showSelected=segments, + id=paste0("samples", samples), + clickSelects=samples), + data=only.error, stat="identity"), + error=ggplot()+ + geom_vline(aes(xintercept=segments, + id=paste0("segments", segments), + clickSelects=segments), + data=only.segments, lwd=17, alpha=1/2)+ + geom_line(aes(segments, error, group=samples, + clickSelects=samples), + data=only.error, lwd=4), + first=list(samples=150, segments=4), + title="breakpointError (select one model size)") + +info <- animint2HTML(breakpointError) +##remDr$screenshot(file="~/R/animint/phantom-bug-screenshot.png") + +dasharrayPattern <- + paste0("stroke-dasharray:", + "(?<value>.*?)", + ";") + +get.dasharray <- function(node.set){ + expect_true(length(node.set) > 0) + style.list <- list() + for(node.i in seq_along(node.set)){ + node <- node.set[[node.i]] + a.vec <- xmlAttrs(node) + style.list[[node.i]] <- a.vec[["style"]] + } + style.vec <- do.call(c, style.list) + str_match_perl(style.vec, dasharrayPattern) +} + +dashed.xpaths <- + c('//g[@class="geom4_vline_signal"]//g[@class="PANEL1"]//line') +solid.xpaths <- + c('//g[@class="geom2_line_signal"]//g[@class="PANEL1"]//path', + '//g[@class="geom3_segment_signal"]//g[@class="PANEL1"]//line', + '//g[@class="geom6_vline_error"]//g[@class="PANEL1"]//line', + '//g[@class="geom7_line_error"]//g[@class="PANEL1"]//path') + +test_that("stroke-dasharray: 8,8 for dashed", { + for(xpath in dashed.xpaths){ + node.set <- getNodeSet(info$html, xpath) + dash.mat <- get.dasharray(node.set) + expect_match(dash.mat[, "value"], "8(px)?, *8(px)?") + } +}) + +test_that("stroke-dasharray default solid (no stroke-dasharray)", { + for(xpath in solid.xpaths){ + node.set <- getNodeSet(info$html, xpath) + dash.mat <- get.dasharray(node.set) + expect_true(all(is.na(dash.mat[, 1]))) + } +}) + +test_that("default is single selection", { + selector.types <- lapply(info$selectors, "[[", "type") + expect_match(selector.types$samples, "single") + expect_match(selector.types$segments, "single") +}) + +test_that("aes(id) geoms have ids", { + nodes <- getNodeSet(info$html, '//*[@id][@class="geom"]') + expect_equal(length(nodes), 24) +}) + +test_that("4 <circle> elements in second plot", { + nodes <- getNodeSet(info$html, '//g[@class="geom5_point_points"]//circle') + expect_equal(length(nodes), 4) +}) + +test_that("default is 150 <circle> elements", { + nodes <- getNodeSet(info$html, '//g[@class="geom1_point_signal"]//circle') + expect_equal(length(nodes), 150) +}) + +test_that("default is 4 <line> segments", { + nodes <- getNodeSet(info$html, '//g[@class="geom3_segment_signal"]//line') + expect_equal(length(nodes), 4) +}) + +test_that("clickSelects 300 makes 300 <circle> elements", { + html <- clickHTML(id=paste0("samples", 300)) + nodes <- getNodeSet(html, '//g[@class="geom1_point_signal"]//circle') + expect_equal(length(nodes), 300) +}) + +test_that("clickSelects 1 changes to 1 <line> element", { + html <- clickHTML(id=paste0("segments", 1)) + nodes <- getNodeSet(html, '//g[@class="geom3_segment_signal"]//line') + expect_equal(length(nodes), 1) +}) + +breakpointError$selector.types <- + list(segments="multiple", + samples="single") +breakpointError$title <- + "breakpointError (select several model sizes)" +info <- animint2HTML(breakpointError) + +test_that("selector.types are converted to JSON", { + selector.types <- lapply(info$selectors, "[[", "type") + expect_match(selector.types$samples, "single") + expect_match(selector.types$segments, "multiple") +}) + +test_that("default is 150 and 4 <circle> elements", { + nodes <- getNodeSet(info$html, '//g[@class="geom1_point_signal"]//circle') + expect_equal(length(nodes), 150) + nodes <- getNodeSet(info$html, '//g[@class="geom5_point_points"]//circle') + expect_equal(length(nodes), 4) +}) + +test_that("clickSelects 300 makes 300 <circle> elements", { + html <- clickHTML(id=paste0("samples", 300)) + nodes <- getNodeSet(html, '//g[@class="geom1_point_signal"]//circle') + expect_equal(length(nodes), 300) +}) + +test_that("clickSelects 1 adds 1 <line> and 4 <circle>", { + html <- clickHTML(id=paste0("segments", 1)) + nodes <- getNodeSet(html, '//g[@class="geom3_segment_signal"]//line') + expect_equal(length(nodes), 5) + nodes <- getNodeSet(html, '//g[@class="geom5_point_points"]//circle') + expect_equal(length(nodes), 8) +}) + +test_that("clickSelects 4 removes 4 <line> elements and 4 <circle>", { + html <- clickHTML(id=paste0("segments", 4)) + nodes <- getNodeSet(html, '//g[@class="geom3_segment_signal"]//line') + expect_equal(length(nodes), 1) + nodes <- getNodeSet(html, '//g[@class="geom5_point_points"]//circle') + expect_equal(length(nodes), 4) +}) + +test_that("clickSelects 1 removes all <line> elements and all <circle>", { + html <- clickHTML(id=paste0("segments", 1)) + nodes <- getNodeSet(html, '//g[@class="geom3_segment_signal"]//line') + expect_equal(length(nodes), 0) + nodes <- getNodeSet(html, '//g[@class="geom5_point_points"]//circle') + expect_equal(length(nodes), 0) +}) + +## Tornado multiple selection. +data(UStornadoes, package = "animint") +stateOrder <- data.frame(state = unique(UStornadoes$state)[order(unique(UStornadoes$TornadoesSqMile), decreasing=T)], rank = 1:49) # order states by tornadoes per square mile +UStornadoes$state <- factor(UStornadoes$state, levels=stateOrder$state, ordered=TRUE) +UStornadoes$weight <- 1/UStornadoes$LandArea +USpolygons <- map_data("state") +USpolygons$state = state.abb[match(USpolygons$region, tolower(state.name))] +library(plyr) +UStornadoCounts <- + ddply(UStornadoes, .(state, year), summarize, count=length(state)) +seg.color <- "#55B1F7" +tornado.lines <- + list(map=ggplot()+ + make_text(UStornadoCounts, -100, 50, "year", "Tornadoes in %d")+ + geom_polygon(aes(x=long, y=lat, group=group, + id=state, + clickSelects=state), + data=USpolygons, fill="black", colour="grey") + + geom_segment(aes(x=startLong, y=startLat, xend=endLong, yend=endLat, + showSelected=year), + colour=seg.color, data=UStornadoes)+ + scale_fill_manual(values=c(end=seg.color))+ + theme_animint(width=750, height=500)+ + geom_point(aes(endLong, endLat, fill=place, showSelected=year), + colour=seg.color, + data=data.frame(UStornadoes,place="end")), + ts=ggplot()+ + geom_text(aes(year, count, showSelected=state, label=state), + hjust=0, + data=subset(UStornadoCounts, year==max(year)))+ + make_tallrect(UStornadoCounts, "year")+ + geom_line(aes(year, count, + showSelected=state, + group=state), + data=UStornadoCounts), + selector.types=list(state="multiple"), + first=list(state=c("CA", "NY"), year=1950)) + +test_that("1950 <circle> and <line> elements", { + ## A warning should be issued when there is showSelected=place and + ## there is only 1 value for place, but not when there is a legend + ## (as in this data viz). + expect_no_warning({ + info <- animint2HTML(tornado.lines) + }) + t1950 <- subset(UStornadoes, year==1950) + nodes <- getNodeSet(info$html, '//g[@class="geom3_segment_map"]//line') + expect_equal(length(nodes), nrow(t1950)) + nodes <- getNodeSet(info$html, '//g[@class="geom4_point_map"]//circle') + expect_equal(length(nodes), nrow(t1950)) + nodes <- getNodeSet(info$html, '//g[@class="geom7_line_ts"]//path') + expect_equal(length(nodes), 2) + nodes <- getNodeSet(info$html, '//g[@class="geom5_text_ts"]//text') + expect_equal(length(nodes), 2) +}) + +test_that("clickSelects CO adds 1 <path> and 1 <text>", { + html <- clickHTML(id="CO") + nodes <- getNodeSet(html, '//g[@class="geom7_line_ts"]//path') + expect_equal(length(nodes), 3) + nodes <- getNodeSet(html, '//g[@class="geom5_text_ts"]//text') + expect_equal(length(nodes), 3) +}) + +test_that("clickSelects CA removes 1 <path> and 1 <text>", { + html <- clickHTML(id="CA") + nodes <- getNodeSet(html, '//g[@class="geom7_line_ts"]//path') + expect_equal(length(nodes), 2) + nodes <- getNodeSet(html, '//g[@class="geom5_text_ts"]//text') + expect_equal(length(nodes), 2) +}) diff --git a/tests/testthat/test-renderer2-no-axes.R b/tests/testthat/test-renderer2-no-axes.R new file mode 100644 index 000000000..e26fc06f9 --- /dev/null +++ b/tests/testthat/test-renderer2-no-axes.R @@ -0,0 +1,31 @@ +acontext("no axes") + +viz <- list( + gg=ggplot()+ + geom_point(aes(Petal.Length, Sepal.Length), + data=iris)+ + theme_bw()+ + theme(axis.line=element_blank(), axis.text=element_blank(), + axis.ticks=element_blank(), axis.title=element_blank(), + panel.background = element_blank(), + panel.border = element_blank()) + ) + +test_that("axes hidden", { + info <- animint2HTML(viz) + ec <- function(element, class){ + data.frame(element, class) + } + elem.df <- rbind( + ec("rect", paste0(c("background","border"), "_rect")), + ec("g", "axis"), + ec("path", "domain"), + ec("text", paste0(c("x", "y"), "title"))) + for(elem.i in seq_along(elem.df$element)){ + xpath <- with(elem.df[elem.i, ], { + sprintf('//%s[@class="%s"]', element, class) + }) + element.list <- getNodeSet(info$html, xpath) + expect_equal(length(element.list), 0) + } +}) diff --git a/tests/testthat/test-renderer2-showSelected-same.R b/tests/testthat/test-renderer2-showSelected-same.R new file mode 100644 index 000000000..0655e598d --- /dev/null +++ b/tests/testthat/test-renderer2-showSelected-same.R @@ -0,0 +1,132 @@ +acontext("showSelected=var, showSelected2=var") + +viz <- list( + points=ggplot()+ + geom_point(aes(Sepal.Length, Petal.Length, + showSelected=Species, + showSelected2=Species), + data=iris) + ) +info <- animint2HTML(viz) +ss.list <- with(info$geoms$geom1_point_points, c(chunk_order, subset_order)) +ss.vec <- unlist(ss.list) + +test_that("redundant showSelected are optimized out", { + expect_equal(length(ss.vec), 1) +}) + +test_that("50 <circle> rendered at first", { + circle.list <- getNodeSet( + info$html, '//g[@class="geom1_point_points"]//circle') + expect_equal(length(circle.list), 50) +}) + +test_that("redundant aes not saved to tsv", { + geom.tsv <- Sys.glob( + file.path("animint-htmltest", "geom1_point_points_*.tsv")) + expect_equal(length(geom.tsv), 1) + expected.names <- sort(c("x", "y", ss.vec)) + tsv.data <- read.table(geom.tsv, header=TRUE, comment.char = "") + computed.names <- sort(names(tsv.data)) + expect_identical(computed.names, expected.names) +}) + +test_that("selector widgets table initially visible", { + display <- getStyleValue( + info$html, '//table[@class="table_selector_widgets"]', + "display") + ## If display is NA then display style is undefined and the table is + ## rendered. + expect_true(is.na(display)) +}) + +viz <- list( + length=ggplot()+ + geom_point(aes(Sepal.Length, Petal.Length, + color=Species, + showSelected=Species), + data=iris) + ) +info <- animint2HTML(viz) + +test_that("150 <circle> rendered in first plot", { + circle.list <- getNodeSet( + info$html, '//g[@class="geom1_point_length"]//circle') + expect_equal(length(circle.list), 150) +}) + +test_that("redundant showSelected and color optimized", { + var.list <- with(info$geoms$geom1_point_length, c(chunk_order, subset_order)) + expect_equal(length(var.list), 1) +}) + +test_that("selector widgets table initially invisible", { + display <- getStyleValue( + info$html, '//table[@class="table_selector_widgets"]', + "display") + expect_match(display, "none") +}) + +viz <- list( + length=ggplot()+ + geom_point(aes(Sepal.Length, Petal.Length, + showSelected=Species), + data=iris), + width=ggplot()+ + geom_point(aes(Sepal.Width, Petal.Width, + clickSelects=Species), + data=iris) + ) +info <- animint2HTML(viz) + +test_that("50 <circle> rendered in first plot", { + circle.list <- getNodeSet( + info$html, '//g[@class="geom1_point_length"]//circle') + expect_equal(length(circle.list), 50) +}) + +test_that("redundant showSelected and color optimized", { + var.list <- with(info$geoms$geom1_point_length, c(chunk_order, subset_order)) + expect_equal(length(var.list), 1) +}) + +test_that("selector widgets table initially invisible", { + display <- getStyleValue( + info$html, '//table[@class="table_selector_widgets"]', + "display") + expect_match(display, "none") +}) + +## This test responds to @kferris10 who asked the question "What will +## happen if there is only one level? Will it render as an array or an +## object?" https://github.com/tdhock/animint/pull/115 We were talking +## about what to do with the selector widget when there is a +## showSelected variable which has only 1 level. However that is a +## trivial case for a showSelected variable, so the user should be +## warned. Ideally it should be optimized out by the compiler but +## currently that would be too complicated (first tsv files including +## potentially trivial showSelected columns are saved, then levels are +## determined). +iris$kingdom <- "plantae" +viz <- list( + points=ggplot()+ + geom_point(aes(Petal.Length, Sepal.Length, + color=Species, + showSelected=Species, + showSelected2=kingdom), + data=iris) + ) + +test_that("compiler warns for showSelected with 1 level", { + expect_warning({ + info <- animint2HTML(viz) + }, "showSelected variables with only 1 level") + circle.list <- getNodeSet( + info$html, '//g[@class="geom1_point_points"]//circle') + expect_equal(length(circle.list), 150) + display <- getStyleValue( + info$html, '//table[@class="table_selector_widgets"]', + "display") + expect_match(display, "none") +}) + diff --git a/tests/testthat/test-renderer2-widerect.R b/tests/testthat/test-renderer2-widerect.R new file mode 100644 index 000000000..214e9bfc6 --- /dev/null +++ b/tests/testthat/test-renderer2-widerect.R @@ -0,0 +1,422 @@ +acontext("geom_widerect") + +recommendation <- data.frame( + min.C=21, + max.C=23) +set.seed(1) +temp.time <- data.frame( + time=strptime(paste0("2015-10-", 1:31), "%Y-%m-%d"), + temp.C=rnorm(31)) + +viz <- list( + gg=ggplot()+ + theme_bw()+ + theme_animint(height=200, width=2000)+ + geom_widerect(aes(ymin=min.C, ymax=max.C), + color=NA, + fill="grey", + data=recommendation)+ + geom_line(aes(time, temp.C), + data=temp.time) + ) + +info <- animint2HTML(viz) + +getBounds <- function(geom.class){ + script.txt <- sprintf('return document.getElementsByClassName("%s")[0].getBoundingClientRect()', geom.class) + remDr$executeScript(script.txt) +} + +test_that("bottom of widerect is above line", { + rect.bounds <- getBounds("geom1_widerect_gg") + line.bounds <- getBounds("geom2_line_gg") + expect_less_than(rect.bounds$bottom, line.bounds$top) +}) + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +BOTH <- function(df, top, side){ + data.frame(df, + top=factor(top, c("Fertility rate", "Years")), + side=factor(side, c("Years", "Life expectancy"))) +} +TS <- function(df)BOTH(df, "Years", "Life expectancy") +SCATTER <- function(df)BOTH(df, "Fertility rate", "Life expectancy") +TS2 <- function(df)BOTH(df, "Fertility rate", "Years") +years <- unique(not.na[, "year", drop=FALSE]) +years$status <- ifelse(years$year %% 2, "odd", "even") +wb.facets <- + list(ts=ggplot()+ + xlab("")+ + geom_tallrect(aes(xmin=year-1/2, xmax=year+1/2, + linetype=status, + clickSelects=year), + data=TS(years), alpha=1/2)+ + theme_bw()+ + theme_animint(width=1000, height=800)+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country, id = country), + data=TS(not.na), size=4, alpha=3/5)+ + geom_point(aes(year, life.expectancy, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS(not.na))+ + + geom_path(aes(fertility.rate, year, group=country, colour=region, + clickSelects=country), + data=TS2(not.na), size=4, alpha=3/5)+ + geom_point(aes(fertility.rate, year, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS2(not.na))+ + geom_widerect(aes(ymin=year-1/2, ymax=year+1/2, + clickSelects=year, + linetype=status, + id=paste0("year", year)), + data=TS2(years), alpha=1/2)+ + + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population, + key=country), # key aesthetic for animated transitions! + data=SCATTER(not.na))+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year, + clickSelects=country, + key=country), #also use key here! + data=SCATTER(not.na))+ + scale_size_animint(breaks=10^(5:9))+ + facet_grid(side ~ top, scales="free")+ + geom_text(aes(5, 85, label=paste0("year = ", year), + showSelected=year), + data=SCATTER(years)), + + bar=ggplot()+ + theme_animint(height=2400)+ + geom_bar(aes(country, life.expectancy, fill=region, + showSelected=year, clickSelects=country, + key=country, id=gsub(" ", "_", country)), + data=not.na, stat="identity", position="identity")+ + coord_flip(), + + time=list(variable="year", ms=2000), + duration=list(year=2000), + first=list(year=1975, country=c("United States", "Vietnam")), + selector.types=list(country="multiple"), + title="World Bank data (multiple selection, facets)") + +info <- animint2HTML(wb.facets) + +rect.list <- + getNodeSet(info$html, '//svg[@id="plot_ts"]//rect[@class="border_rect"]') +expect_equal(length(rect.list), 4) +at.mat <- sapply(rect.list, xmlAttrs) + +test_that("three unique border_rect x values (no horiz space)", { + left.vec <- as.numeric(at.mat["x", ]) + width.vec <- as.numeric(at.mat["width", ]) + right.vec <- left.vec + width.vec + x.values <- unique(c(left.vec, right.vec)) + expect_equal(length(x.values), 3) +}) + +test_that("three unique border_rect y values (no vert space)", { + top.vec <- as.numeric(at.mat["y", ]) + height.vec <- as.numeric(at.mat["height", ]) + bottom.vec <- top.vec + height.vec + y.values <- unique(c(top.vec, bottom.vec)) + expect_equal(length(y.values), 3) +}) + +line.xpath <- '//g[@class="geom2_line_ts"]//g[@class="PANEL4"]//path' +opacityPattern <- + paste0("opacity:", + "(?<value>.*?)", + ";") + +test_that("line opacity initially 0.1 or 0.6", { + + node.set <- getNodeSet(info$html, line.xpath) + opacity.list <- list() + for(node.i in seq_along(node.set)){ + node <- node.set[[node.i]] + a.vec <- xmlAttrs(node) + style.str <- a.vec[["style"]] + opacity.mat <- str_match_perl(style.str, opacityPattern) + node.id <- a.vec[["id"]] + opacity.list[[node.id]] <- as.numeric(opacity.mat[, "value"]) + } + opacity.vec <- do.call(c, opacity.list) + + selected.computed <- as.numeric(opacity.vec[wb.facets$first$country]) + selected.expected <- rep(0.6, length(selected.computed)) + expect_equal(selected.computed, selected.expected) + + unselected.computed <- + as.numeric(opacity.vec[!names(opacity.vec) %in% wb.facets$first$country]) + unselected.expected <- rep(0.1, length(unselected.computed)) + expect_equal(unselected.computed, unselected.expected) + +}) + +dasharrayPattern <- + paste0("stroke-dasharray:", + "(?<value>.*?)", + ";") + +rect.xpaths <- + c('//g[@class="geom6_widerect_ts"]//g[@class="PANEL1"]//rect', + '//g[@class="geom1_tallrect_ts"]//g[@class="PANEL4"]//rect') + +test_that("wide/tallrect renders a <rect> for every year", { + for(rect.xpath in rect.xpaths){ + node.set <- getNodeSet(info$html, rect.xpath) + expect_equal(length(node.set), nrow(years)) + style.list <- list() + for(node.i in seq_along(node.set)){ + node <- node.set[[node.i]] + a.vec <- xmlAttrs(node) + style.list[[node.i]] <- a.vec[["style"]] + sizes <- as.numeric(a.vec[c("height", "width")]) + expect_true(all(sizes > 0)) + } + style.vec <- do.call(c, style.list) + dash.mat <- str_match_perl(style.vec, dasharrayPattern) + ## Use paste() to treat NA as a value instead of ignoring it. + dash.table <- table(paste(dash.mat[, "value"])) + ## There should be 2 unique values of stoke-dasharray. + expect_equal(length(dash.table), 2) + } +}) + +getYear <- function(){ + node.set <- getNodeSet(getHTML(), '//g[@class="geom9_text_ts"]//text') + expect_equal(length(node.set), 1) + value <- xmlValue(node.set[[1]]) + sub("year = ", "", value) +} + +test_that("animation updates", { + old.year <- getYear() + Sys.sleep(5) #wait for two animation frames. + new.year <- getYear() + expect_true(old.year != new.year) +}) + +clickID("plot_show_hide_animation_controls") + +test_that("pause stops animation", { + clickID("play_pause") + old.year <- getYear() + Sys.sleep(3) + new.year <- getYear() + expect_true(old.year == new.year) +}) + +test_that("play restarts animation", { + old.year <- getYear() + clickID("play_pause") + Sys.sleep(5) + new.year <- getYear() + expect_true(old.year != new.year) +}) + +test_that("pause stops animation (second time)", { + clickID("play_pause") + old.year <- getYear() + Sys.sleep(3) + new.year <- getYear() + expect_true(old.year == new.year) +}) + +clickID("plot_ts_status_variable_even") +clickID("plot_ts_status_variable_odd") +html.no.rects <- getHTML() + +test_that("clicking status legend hides tallrects", { + for(rect.xpath in rect.xpaths){ + node.set <- getNodeSet(html.no.rects, rect.xpath) + expect_equal(length(node.set), 0) + } +}) + +test_that("clicking status legend does not hide text", { + node.set <- + getNodeSet(html.no.rects, + '//g[@class="geom9_text_ts"]//text[@class="geom"]') + expect_equal(length(node.set), 1) +}) + +clickID("plot_ts_status_variable_even") +clickID("plot_ts_status_variable_odd") +html.with.rects <- getHTML() + +test_that("clicking status legend brings back tallrects", { + for(rect.xpath in rect.xpaths){ + node.set <- getNodeSet(html.with.rects, rect.xpath) + expect_equal(length(node.set), nrow(years)) + style.list <- list() + for(node.i in seq_along(node.set)){ + node <- node.set[[node.i]] + a.vec <- xmlAttrs(node) + style.list[[node.i]] <- a.vec[["style"]] + sizes <- as.numeric(a.vec[c("height", "width")]) + expect_true(all(sizes > 0)) + } + style.vec <- do.call(c, style.list) + dash.mat <- str_match_perl(style.vec, dasharrayPattern) + ## Use paste() to treat NA as a value instead of ignoring it. + dash.table <- table(paste(dash.mat[, "value"])) + ## There should be 2 unique values of stoke-dasharray. + expect_equal(length(dash.table), 2) + } +}) + +test_that("play restarts animation (second time)", { + old.year <- getYear() + clickID("play_pause") + Sys.sleep(5) + new.year <- getYear() + expect_true(old.year != new.year) +}) + +legend.td.xpath <- + '//tr[@class="region_variable"]//td[@class="legend_entry_label"]' +rects_and_legends <- function(){ + html <- getHTML() + list(rects=getNodeSet(html, '//rect[@id="United_States"]'), + legends=getStyleValue(html, legend.td.xpath, "opacity")) +} +test_that("clicking legend removes/adds countries", { + before <- rects_and_legends() + expect_equal(length(before$rects), 1) + expect_equal(sum(before$legends=="1"), 14) + expect_equal(sum(before$legends=="0.5"), 0) + clickID("plot_ts_region_variable_North_America") + Sys.sleep(1) + oneclick <- rects_and_legends() + expect_equal(length(oneclick$rects), 0) + expect_equal(sum(oneclick$legends=="1"), 12) + expect_equal(sum(oneclick$legends=="0.5"), 2) + clickID("plot_ts_region_variable_North_America") + Sys.sleep(1) + twoclicks <- rects_and_legends() + expect_equal(length(twoclicks$rects), 1) + expect_equal(sum(twoclicks$legends=="1"), 14) + expect_equal(sum(twoclicks$legends=="0.5"), 0) +}) + +e <- remDr$findElement("id", "updates_ms") +e$clickElement() +e$clearElement() +e$sendKeysToElement(list("3000", key="enter")) + +test_that("pause stops animation (third time)", { + clickID("play_pause") + old.year <- getYear() + Sys.sleep(4) + new.year <- getYear() + expect_true(old.year == new.year) +}) + +e <- remDr$findElement("class name", "show_hide_selector_widgets") +e$clickElement() +s.tr <- remDr$findElement("class name", "year_variable_selector_widget") +s.div <- s.tr$findChildElement("class name", "selectize-input") +s.div$clickElement() +remDr$sendKeysToActiveElement(list(key="backspace")) +remDr$sendKeysToActiveElement(list("1962")) +remDr$sendKeysToActiveElement(list(key="enter")) +Sys.sleep(1) + +test_that("typing into selectize widget changes year to 1962", { + current.year <- getYear() + expect_identical(current.year, "1962") +}) + +s.div$clickElement() +remDr$sendKeysToActiveElement(list(key="down_arrow")) +remDr$sendKeysToActiveElement(list(key="enter")) +Sys.sleep(1) + +test_that("down arrow key changes year to 1963", { + current.year <- getYear() + expect_identical(current.year, "1963") +}) + +getCountries <- function(){ + country.labels <- getNodeSet(getHTML(), '//g[@class="geom8_text_ts"]//text') + sapply(country.labels, xmlValue) +} + +test_that("initial countries same as first", { + country.vec <- getCountries() + expect_identical(sort(country.vec), sort(wb.facets$first$country)) +}) + +s.tr <- remDr$findElement("class name", "country_variable_selector_widget") +s.div <- s.tr$findChildElement("class name", "selectize-input") +s.div$clickElement() +remDr$sendKeysToActiveElement(list("Afg")) +remDr$sendKeysToActiveElement(list(key="enter")) +Sys.sleep(1) + +test_that("Afg autocompletes to Afghanistan", { + country.vec <- getCountries() + expected.countries <- c("United States", "Vietnam", "Afghanistan") + expect_identical(sort(country.vec), sort(expected.countries)) +}) + +div.list <- s.tr$findChildElements("class name", "item") +names(div.list) <- sapply(div.list, function(e)e$getElementText()[[1]]) +us.div <- div.list[["United States"]] +us.div$clickElement() +remDr$sendKeysToActiveElement(list(key="backspace")) +Sys.sleep(1) + +test_that("backspace removes US from selected countries", { + country.vec <- getCountries() + expected.countries <- c("Vietnam", "Afghanistan") + expect_identical(sort(country.vec), sort(expected.countries)) +}) + +getWidth <- function(){ + node.set <- + getNodeSet(getHTML(), '//g[@class="geom10_bar_bar"]//rect[@id="Vietnam"]') + expect_equal(length(node.set), 1) + alist <- xmlAttrs(node.set[[1]]) + alist[["width"]] +} + +test_that("middle of transition != after when duration=2000", { + clickID("year1960") + Sys.sleep(1) + before.width <- getWidth() + clickID("year2010") + during.width <- getWidth() + Sys.sleep(0.1) + after.width <- getWidth() + rbind(before=before.width, + during=during.width, + after=after.width) + expect_true(during.width != after.width) +}) + +e <- remDr$findElement("id", "plot_duration_ms_year") +e$clickElement() +e$clearElement() +e$sendKeysToElement(list("0", key="enter")) +Sys.sleep(1) + +test_that("middle of transition == after when duration=0", { + clickID("year1960") + Sys.sleep(1) + before.width <- getWidth() + clickID("year2010") + during.width <- getWidth() + Sys.sleep(0.1) + after.width <- getWidth() + rbind(before=before.width, + during=during.width, + after=after.width) + expect_true(before.width != after.width) + expect_true(during.width == after.width) +}) diff --git a/tests/testthat/test-renderer3-ChromHMMinit.R b/tests/testthat/test-renderer3-ChromHMMinit.R new file mode 100644 index 000000000..13f41b3b2 --- /dev/null +++ b/tests/testthat/test-renderer3-ChromHMMinit.R @@ -0,0 +1,87 @@ +acontext("ChromHMMinit data set") + +require(httr) +ChromHMMinit.RData <- file.path(tempdir(), "ChromHMMinit.RData") +request <- GET("http://github.com/tdhock/animint-examples/blob/master/data/ChromHMMinit.RData?raw=true") +stop_for_status(request) +writeBin(content(request), ChromHMMinit.RData) +## If we don't load this data set into the global environment, then we +## get Error in eval(expr, envir, enclos) (from helper-functions.R#5) +## : object 'ChromHMMinit' not found +load(ChromHMMinit.RData, .GlobalEnv) + +last.iteration <- subset(ChromHMMinit$metrics, iteration==100) + +viz <- list( + parameters=ggplot()+ + ggtitle("parameters at selected iteration")+ + scale_fill_gradient(low="white", high="blue")+ + geom_tile(aes(state, experiment, fill=frequency, + key=paste(state, experiment), + showSelected=repeat.fac, + showSelected2=iteration), + ##chunk_vars=c("repeat.fac"), + data=data.frame(ChromHMMinit$emission, parameters="emission"))+ + scale_color_gradient(low="white", high="red")+ + theme_bw()+ + theme_animint(height=500, width=400)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(parameters ~ ., + space="free", + scales="free_y")+ + scale_y_discrete(drop=FALSE)+ + geom_point(aes(state.to, state.from, color=probability, + key=paste(state.from, state.to), + showSelected=repeat.fac, + showSelected2=iteration), + size=8, + ##chunk_vars=c("repeat.fac"), + data=data.frame(ChromHMMinit$transition, + parameters="transition")), + metrics=ggplot()+ + ggtitle("convergence metrics, select iteration")+ + make_tallrect(ChromHMMinit$metrics, "iteration")+ + geom_line(aes(iteration, metric.value, + clickSelects=repeat.fac, + group=repeat.fac), + size=3, + alpha=0.6, + data=subset(ChromHMMinit$metrics, metric.name != "Change"))+ + theme_bw()+ + theme_animint(height=500)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(metric.name ~ ., scales="free_y"), + last=ggplot()+ + ggtitle("last iteration, select initialization")+ + theme_bw()+ + theme_animint(height=500, width=400)+ + theme(panel.margin=grid::unit(0, "cm"))+ + facet_grid(metric.name ~ ., space="fixed", scales="free")+ + geom_point(aes(repeat.fac, metric.value, + clickSelects=repeat.fac), + size=5, + data=subset(last.iteration, metric.name != "Change"))+ + scale_x_discrete("random initialization")+ + scale_y_continuous(""), + duration=list(iteration=500), + first=list(iteration=100), + time=list(variable="iteration", ms=500), + title="10 ChromHMM fits for 6 experiments on one iPS sample") + +system.time({ + info <- animint2HTML(viz) #TODO: why does this take so long? +}) + +getFill <- function(html=getHTML()){ + getStyleValue(html, '//g[@class="geom2_point_parameters"]//circle', "fill") +} + +test_that("animation starts by default", { + initial.fill.vec <- getFill() + expect_equal(length(initial.fill.vec), 225) + Sys.sleep(5) + updated.fill.vec <- getFill() + expect_equal(length(updated.fill.vec), 225) + n.different <- sum(initial.fill.vec != updated.fill.vec) + expect_more_than(n.different, 0) +}) diff --git a/tests/testthat/test-renderer3-FunctionalPruning.R b/tests/testthat/test-renderer3-FunctionalPruning.R new file mode 100644 index 000000000..d998bf90d --- /dev/null +++ b/tests/testthat/test-renderer3-FunctionalPruning.R @@ -0,0 +1,61 @@ +context("FunctionalPruning") + +data(FunctionalPruning, package="animint") +min.bug.viz <- list( + pruning=ggplot()+ + geom_line(aes(mean, cost, + showSelected=minimization), + color="grey", + size=5, + data=FunctionalPruning$envelope)+ + geom_line(aes(mean, cost, color=data.i.fac, + group=paste(piece.i, data.i), + showSelected=minimization), + data=FunctionalPruning$cost.lines)+ + geom_point(aes(min.cost.mean, min.cost, + color=data.i.fac, + showSelected=minimization), + size=5, + data=FunctionalPruning$minima), + data=ggplot()+ + geom_tile(aes(timestep, total.segments, + fill=optimal.cost, + id=paste0("segs", total.segments, "time", timestep), + clickSelects=minimization), + data=FunctionalPruning$grid), + first=list(minimization="2 segments up to data point 4") +) +info <- animint2HTML(min.bug.viz) + +some.lines <- subset(FunctionalPruning$cost.lines, timestep==4 & n.segments==2) +with(some.lines, table(data.i, piece.i)) +test_that("one line rendered for min envelope", { + path.list <- getNodeSet( + info$html, + '//g[@class="geom1_line_pruning"]//path') + expect_equal(length(path.list), 1) +}) + +test_that("four lines rendered for cost candidates", { + path.list <- getNodeSet( + info$html, + '//g[@class="geom2_line_pruning"]//path') + expect_equal(length(path.list), 4) +}) + +html <- clickHTML(id="segs1time4") + +test_that("min envelope line disappears", { + path.list <- getNodeSet( + html, + '//g[@class="geom1_line_pruning"]//path') + expect_equal(length(path.list), 0) +}) + +test_that("cost candidates lines disappear", { + path.list <- getNodeSet( + html, + '//g[@class="geom2_line_pruning"]//path') + expect_equal(length(path.list), 0) +}) + diff --git a/tests/testthat/test-renderer3-knn.R b/tests/testthat/test-renderer3-knn.R new file mode 100644 index 000000000..5a8b8ed5b --- /dev/null +++ b/tests/testthat/test-renderer3-knn.R @@ -0,0 +1,210 @@ +acontext("mixtureKNN data set") + +data(mixtureKNN) + +mixtureKNN$Bayes.error$text.V1.prop <- 0 +mixtureKNN$Bayes.error$text.V2.bottom <- -2 +mixtureKNN$other.error$text.V1.prop <- 0 +mixtureKNN$Bayes.error$text.V1.error <- -2.6 +mixtureKNN$other.error$text.V1.error <- -2.6 +classifier.linetypes <- c( + Bayes="dashed", + KNN="solid") +label.colors <- c( + "0"="#377EB8", + "1"="#FF7F00") +set.colors <- + c(test="#984EA3",#purple + validation="#4DAF4A",#green + Bayes="#984EA3",#purple + train="black") + +errorPlot <- ggplot()+ + ggtitle("Select number of neighbors")+ + theme_bw()+ + theme_animint(height=500)+ + geom_text(aes(min.neighbors, error.prop, + color=set, label="Bayes", + showSelected=classifier), + hjust=1, + data=mixtureKNN$Bayes.segment)+ + geom_segment(aes(min.neighbors, error.prop, + xend=max.neighbors, yend=error.prop, + color=set, + showSelected=classifier, linetype=classifier), + data=mixtureKNN$Bayes.segment)+ + scale_color_manual(values=set.colors, breaks=names(set.colors))+ + scale_fill_manual(values=set.colors)+ + guides(fill="none", linetype="none")+ + scale_linetype_manual(values=classifier.linetypes)+ + ylab("Misclassification Errors")+ + scale_x_continuous( + "Number of Neighbors", + limits=c(-1, 30), + breaks=c(1, 10, 20, 29))+ + geom_ribbon(aes(neighbors, ymin=mean-sd, ymax=mean+sd, + fill=set, + showSelected=classifier, + showSelected2=set), + alpha=0.5, + data=mixtureKNN$validation.error)+ + geom_line(aes(neighbors, mean, color=set, + showSelected=classifier, linetype=classifier), + data=mixtureKNN$validation.error)+ + geom_line(aes(neighbors, error.prop, group=set, color=set, + showSelected=classifier, linetype=classifier), + data=mixtureKNN$other.error)+ + geom_tallrect(aes(xmin=neighbors-1, xmax=neighbors+1, + clickSelects=neighbors), + alpha=0.5, + data=mixtureKNN$validation.error) +errorPlot + +scatterPlot <- ggplot()+ + ggtitle("Mis-classification errors in train set")+ + theme_bw()+ + theme_animint(width=500, height=500)+ + xlab("Input feature 1")+ + ylab("Input feature 2")+ + coord_equal()+ + scale_color_manual(values=label.colors)+ + scale_linetype_manual(values=classifier.linetypes)+ + geom_point(aes(V1, V2, color=label, + showSelected=neighbors), + size=0.2, + data=mixtureKNN$show.grid)+ + geom_path(aes(V1, V2, group=path.i, linetype=classifier, + showSelected=neighbors), + size=1, + data=mixtureKNN$pred.boundary)+ + geom_path(aes(V1, V2, group=path.i, linetype=classifier), + color=set.colors[["test"]], + size=1, + data=mixtureKNN$Bayes.boundary)+ + geom_point(aes(V1, V2, color=label, + fill=prediction, + showSelected=neighbors), + size=3, + shape=21, + data=mixtureKNN$show.points)+ + scale_fill_manual(values=c(error="black", correct="transparent"))+ + geom_text(aes(text.V1.error, text.V2.bottom, label=paste(set, "Error:")), + data=mixtureKNN$Bayes.error, + hjust=0)+ + geom_text(aes(text.V1.prop, text.V2.bottom, label=sprintf("%.3f", error.prop)), + data=mixtureKNN$Bayes.error, + hjust=1)+ + geom_text(aes(text.V1.error, V2.bottom, label=paste(set, "Error:"), + showSelected=neighbors), + data=mixtureKNN$other.error, + hjust=0)+ + geom_text(aes(text.V1.prop, V2.bottom, label=sprintf("%.3f", error.prop), + showSelected=neighbors), + data=mixtureKNN$other.error, + hjust=1)+ + geom_text(aes(V1, V2, + showSelected=neighbors, + label=paste0( + neighbors, + " nearest neighbor", + ifelse(neighbors==1, "", "s"), + " classifier")), + data=mixtureKNN$show.text) +scatterPlot+ + facet_wrap("neighbors")+ + theme(panel.margin=grid::unit(0, "lines")) + +viz.neighbors <- list( + error=errorPlot, + data=scatterPlot, + first=list(neighbors=7) + ) +info <- animint2HTML(viz.neighbors) + +get_nodes <- function(html=getHTML()){ + line.list <- getNodeSet(html, "//g[@class='geom2_segment_error']//line") + rect.list <- getNodeSet( + html, "//svg[@id='plot_error']//rect[@class='border_rect']") + rect.attr.mat <- sapply(rect.list, xmlAttrs) + rect.x <- as.numeric(rect.attr.mat["x",]) + rect.width <- as.numeric(rect.attr.mat["width",]) + rect.right <- rect.x + rect.width + line.attr.mat <- sapply(line.list, xmlAttrs) + list( + ribbon=getNodeSet(html, "//g[@class='geom3_ribbon_error']//path"), + validation=getNodeSet(html, "//g[@class='geom4_line_error']//path"), + train.test=getNodeSet(html, "//g[@class='geom5_line_error']//path"), + Bayes=line.list, + Bayes.x2=if(is.matrix(line.attr.mat))as.numeric(line.attr.mat["x2",]), + border.right=rect.right, + boundary.KNN=getNodeSet(html, "//g[@class='geom8_path_data']//path"), + boundary.Bayes=getNodeSet(html, "//g[@class='geom9_path_data']//path") + ) +} + +before <- get_nodes(info$html) +test_that("1 <path> rendered for validation error band", { + expect_equal(length(before$ribbon), 1) +}) +test_that("1 <path> rendered for validation error mean", { + expect_equal(length(before$validation), 1) +}) +test_that("2 <path> rendered for train/test error", { + expect_equal(length(before$train.test), 2) +}) +test_that("1 <line> rendered for Bayes error", { + expect_equal(length(before$Bayes), 1) +}) +test_that("Bayes error <line> inside of border_rect", { + expect_less_than(before$Bayes.x2, before$border.right) +}) +test_that("6 <path> rendered for KNN boundary", { + expect_equal(length(before$boundary.KNN), 6) +}) +test_that("2 <path> rendered for Bayes boundary", { + expect_equal(length(before$boundary.Bayes), 2) +}) + +clickID("plot_data_classifier_variable_Bayes") + +click1 <- get_nodes() +test_that("first click, 1 <path> rendered for validation error band", { + expect_equal(length(click1$ribbon), 1) +}) +test_that("first click, 1 <path> rendered for validation error mean", { + expect_equal(length(click1$validation), 1) +}) +test_that("first click, 2 <path> rendered for train/test error", { + expect_equal(length(click1$train.test), 2) +}) +test_that("first click, Bayes error disappears", { + expect_equal(length(click1$Bayes), 0) +}) +test_that("first click, 6 <path> rendered for KNN boundary", { + expect_equal(length(click1$boundary.KNN), 6) +}) +test_that("first click, Bayes boundary disappears", { + expect_equal(length(click1$boundary.Bayes), 0) +}) + +clickID("plot_data_classifier_variable_KNN") + +click2 <- get_nodes() +test_that("second click, validation error band disappears", { + expect_equal(length(click2$ribbon), 0) +}) +test_that("second click, validation error mean disappears", { + expect_equal(length(click2$validation), 0) +}) +test_that("second click, train/test error disappears", { + expect_equal(length(click2$train.test), 0) +}) +test_that("second click, Bayes error still gone", { + expect_equal(length(click2$Bayes), 0) +}) +test_that("second click, KNN boundary disappears", { + expect_equal(length(click2$boundary.KNN), 0) +}) +test_that("second click, Bayes boundary still gone", { + expect_equal(length(click2$boundary.Bayes), 0) +}) diff --git a/tests/testthat/test-renderer3-lilac_chaser.R b/tests/testthat/test-renderer3-lilac_chaser.R new file mode 100644 index 000000000..96f2ff6b7 --- /dev/null +++ b/tests/testthat/test-renderer3-lilac_chaser.R @@ -0,0 +1,96 @@ +acontext("lilac chaser vi") + +## Function to implement the vi.lilac.chaser() function from package 'animation' +vi_lilac_chaser <- function(np = 10, + nmax = 1, + col = 'magenta', + p.size = 20, + c.size = 4 +) +{ + x <- seq(0, 2 * pi * np/(np + 1), length = np) # Get co-ordinates to plot + + # Get data in a data-frame to pass to ggplot + df <- data.frame() + for (i in 1:np) { + df <- rbind(df, cbind(sin(x[-i]), cos(x[-i]), ptn = i))} + colnames(df) <- c("sinv", "cosv", "ptn") + + + # Plot to display the points and the '+' mark in the middle + p1 <- ggplot(data = df) + + # Display the points + geom_point(data = df, + aes(x = sinv, y = cosv, showSelected = ptn), + col = col, + size = p.size) + + # Display the '+' mark + geom_segment(aes(x=-0.1, y=0, xend=0.1, yend=0), size=c.size) + + geom_segment(aes(x=0, y=-0.1, xend=0, yend=0.1), size=c.size) + + xlim(c(-1.33, 1.33)) + + ylim(c(-1.33, 1.33)) + + # Hide the axes, titles and others.. + theme_bw() + + theme(axis.line=element_blank(), + axis.text.x=element_blank(), axis.text.y=element_blank(), + axis.ticks=element_blank(), + axis.title.x=element_blank(), axis.title.y=element_blank(), + legend.position="none", + panel.background=element_blank(),panel.border=element_blank(), + panel.grid.major=element_blank(),panel.grid.minor=element_blank(), + plot.background=element_blank()) + + + # Automate using animint taking point number 'ptn' as variable + plots <- list(plot1 = p1) + plots$time <- list(variable = "ptn", ms = 150) + plots$duration <- list(ptn=0) + return(plots) +} + +plots <- vi_lilac_chaser() +info <- animint2HTML(plots) + +test_that("axes hidden", { + # info <- animint2HTML(viz) + ec <- function(element, class){ + data.frame(element, class) + } + elem.df <- rbind( + ec("rect", paste0(c("background","border"), "_rect")), + ec("g", "axis"), + ec("path", "domain"), + ec("text", paste0(c("x", "y"), "title"))) + for(elem.i in seq_along(elem.df$element)){ + xpath <- with(elem.df[elem.i, ], { + sprintf('//%s[@class="%s"]', element, class) + }) + element.list <- getNodeSet(info$html, xpath) + expect_equal(length(element.list), 0) + } +}) + +test_that("x and y have no labels", { + xlabel <- getNodeSet(info$html, "//text[@class='xtitle']") + ylabel <- getNodeSet(info$html, "//text[@class='ytitle']") + expect_equal(length(xlabel), 0) + expect_equal(length(ylabel), 0) +}) + +test_that("Different points are rendered", { + x1_nodes <- getNodeSet(info$html, "//circle[@class='geom']/@cx") + y1_nodes <- getNodeSet(info$html, "//circle[@class='geom']/@cy") + x1_pts <- sapply(x1_nodes, xmlNode) + y1_pts <- sapply(y1_nodes, xmlNode) + + Sys.sleep(1.739) # Wait an arbitrary amount to get point locations + + info$html <- getHTML() + + x2_nodes <- getNodeSet(info$html, "//circle[@class='geom']/@cx") + y2_nodes <- getNodeSet(info$html, "//circle[@class='geom']/@cy") + x2_pts <- sapply(x2_nodes, xmlNode) + y2_pts <- sapply(y2_nodes, xmlNode) + expect_false(identical(x1_pts, x2_pts)) + expect_false(identical(y1_pts, y2_pts)) +}) diff --git a/tests/testthat/test-renderer3-path-key.R b/tests/testthat/test-renderer3-path-key.R new file mode 100644 index 000000000..64aea2c18 --- /dev/null +++ b/tests/testthat/test-renderer3-path-key.R @@ -0,0 +1,56 @@ +acontext("path key") + +path.list <- list() +N <- 100 +x <- 1:N +point <- data.frame( + showSelected.i=1:2) +set.seed(1) +for(group.i in 1:2){ + for(showSelected.i in point$showSelected.i){ + path.list[[paste(group.i, showSelected.i)]] <- + data.frame(group.i, showSelected.i, x, y=rnorm(N, group.i)) + } +} +path <- do.call(rbind, path.list) + +viz <- list( + point=ggplot()+ + geom_point(aes(showSelected.i, showSelected.i, + id=paste0("point", showSelected.i), + clickSelects=showSelected.i), + size=10, + data=point), + transition=ggplot()+ + ggtitle("should have animated transition")+ + geom_path(aes(x, y, group=group.i, color=group.i, + key=group.i, + showSelected=showSelected.i), + data=path), + noTransition=ggplot()+ + ggtitle("should NOT have animated transition")+ + geom_path(aes(x, y, group=group.i, color=group.i, + key=paste(group.i, showSelected.i), + showSelected=showSelected.i), + data=path), + first=list(showSelected.i="1"), + duration=list(showSelected.i=3000)) + +info <- animint2HTML(viz) + +getD <- function(html=getHTML()){ + node.list <- getNodeSet(html, '//g[@class="PANEL1"]//path') + node.mat <- sapply(node.list, xmlAttrs) + node.mat["d",] +} + +test_that("transitions only for equivalent keys", { + d.before <- getD() + clickID("point2") + Sys.sleep(1) + d.during <- getD() + Sys.sleep(3) + d.after <- getD() + expect_identical(d.before == d.during, c(FALSE, FALSE, FALSE, FALSE)) + expect_identical(d.during == d.after, c(FALSE, FALSE, TRUE, TRUE)) +}) diff --git a/tests/testthat/test-renderer3-point-fill-NA.R b/tests/testthat/test-renderer3-point-fill-NA.R new file mode 100644 index 000000000..8a5cd01c5 --- /dev/null +++ b/tests/testthat/test-renderer3-point-fill-NA.R @@ -0,0 +1,29 @@ +acontext("point fill NA") + +##dput(RColorBrewer::brewer.pal(Inf, "Set1")) +species.colors <- + c(versicolor="#E41A1C", + setosa="#377EB8", + virginica="#4DAF4A", "#984EA3", + "#FF7F00", "#FFFF33", + "#A65628", "#F781BF", "#999999") +viz <- list( + petals=ggplot()+ + scale_color_manual(values=species.colors)+ + geom_point(aes(Petal.Length, Petal.Width, color=Species), + fill=NA, + shape=21, + data=iris) + ) + +test_that("geom_point(aes(color), fill=NA) renders fill transparent", { + info <- animint2HTML(viz) + style.mat <- getStyleValue( + info$html, '//g[@class="geom1_point_petals"]//circle', c("fill", "stroke")) + expected.stroke <- species.colors[paste(iris$Species)] + expect_color(style.mat["stroke", ], expected.stroke) + expected.fill <- rep("transparent", nrow(iris)) + computed.fill <- style.mat["fill", ] + ##print(rbind(computed.fill, expected.fill)) + expect_color(computed.fill, expected.fill) +}) diff --git a/tests/testthat/test-renderer3-roc.R b/tests/testthat/test-renderer3-roc.R new file mode 100644 index 000000000..d15fdff00 --- /dev/null +++ b/tests/testthat/test-renderer3-roc.R @@ -0,0 +1,118 @@ +acontext("TestROC") + +data(TestROC, package="animint") + +##RColorBrewer::display.brewer.all() +## x <- RColorBrewer::brewer.pal(12, "Paired") +## cat(deparse(x)) + +algo.colors <- + c(hmcan="#A6CEE3", + hmcan.broad="#1F78B4", + PeakSegJoint="grey40", + macs="#FDBF6F", + macs.broad="#FF7F00") + +path.before.params <- list( + title="Test ROC curves, predicted peaks and errors", + roc=ggplot()+ + geom_path(aes(FPR, TPR, group=Model, key=Model, color=Model), + data=TestROC$roc)+ + scale_color_manual(values=algo.colors, breaks=names(algo.colors))+ + geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter), + size=parameter, + fill=parameter), + shape=21, + data=subset(TestROC$parameters, parameter=="learned"))+ + geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter), + size=parameter, + fill=parameter), + shape=21, + data=subset(TestROC$parameters, parameter=="default"))+ + geom_point(aes(FPR, TPR, color=Model, + key=ModelParam, + clickSelects=ModelParam), + size=4, + alpha=0.9, + data=subset(TestROC$roc, same.as.prev==FALSE))+ + scale_fill_manual(values=c(default="black", learned="white"))+ + scale_size_manual(values=c(default=7, learned=10))+ + scale_shape_manual(values=c(default=20, learned=1))+ + coord_equal()+ + theme_grey()+ + scale_x_continuous(paste( + "False positive rate in test labels", + "= Probability(peak | no peak)"), + breaks=seq(0, 1, by=0.2))+ + scale_y_continuous(paste( + "True positive rate in test labels", + "= Probability(peak | peak)"), + breaks=seq(0, 1, by=0.2))+ + theme(panel.margin=grid::unit(0, "lines")), + first=list(ModelParam="PeakSegJoint -0.8")) + +test_that("path before params, 5 paths rendered", { + info <- animint2HTML(path.before.params) + entry.list <- info$plots$roc$legend$Model$entries + linetype.computed <- sapply(entry.list, "[[", "pathlinetype") + linetype.expected <- rep(1, 5) + expect_identical(linetype.computed, linetype.expected) + path.list <- getNodeSet(info$html, '//g[@class="geom1_path_roc"]//path') + expect_equal(length(path.list), 5) + stroke.vec <- getStyleValue( + info$html, '//td[@class="roc_legend"]//line', "stroke") + expect_color(stroke.vec, algo.colors) +}) + +path.after.params <- list( + title="Test ROC curves, predicted peaks and errors", + roc=ggplot()+ + geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter), + size=parameter, + fill=parameter), + shape=21, + data=subset(TestROC$parameters, parameter=="learned"))+ + geom_point(aes(FPR, TPR, color=Model, key=paste(model, parameter), + size=parameter, + fill=parameter), + shape=21, + data=subset(TestROC$parameters, parameter=="default"))+ + scale_color_manual(values=algo.colors, breaks=names(algo.colors))+ + geom_path(aes(FPR, TPR, group=Model, key=Model, color=Model), + data=TestROC$roc)+ + geom_point(aes(FPR, TPR, color=Model, + key=ModelParam, + clickSelects=ModelParam), + size=4, + alpha=0.9, + data=subset(TestROC$roc, same.as.prev==FALSE))+ + scale_fill_manual(values=c(default="black", learned="white"))+ + scale_size_manual(values=c(default=7, learned=10))+ + scale_shape_manual(values=c(default=20, learned=1))+ + coord_equal()+ + theme_grey()+ + scale_x_continuous(paste( + "False positive rate in test labels", + "= Probability(peak | no peak)"), + breaks=seq(0, 1, by=0.2))+ + scale_y_continuous(paste( + "True positive rate in test labels", + "= Probability(peak | peak)"), + breaks=seq(0, 1, by=0.2))+ + theme(panel.margin=grid::unit(0, "lines")), + first=list(ModelParam="PeakSegJoint -0.8")) + +test_that("path after params, 5 paths rendered", { + info <- animint2HTML(path.after.params) + entry.list <- info$plots$roc$legend$Model$entries + linetype.computed <- sapply(entry.list, "[[", "pathlinetype") + linetype.expected <- rep(1, 5) + expect_identical(linetype.computed, linetype.expected) + path.list <- getNodeSet(info$html, '//g[@class="geom3_path_roc"]//path') + expect_equal(length(path.list), 5) + stroke.vec <- getStyleValue( + info$html, '//td[@class="roc_legend"]//line', "stroke") + expect_color(stroke.vec, algo.colors) +}) + + diff --git a/tests/testthat/test-renderer3-stat-bin.R b/tests/testthat/test-renderer3-stat-bin.R new file mode 100644 index 000000000..14538089e --- /dev/null +++ b/tests/testthat/test-renderer3-stat-bin.R @@ -0,0 +1,60 @@ +acontext("stat bin") + +set.seed(1) +make <- function(count, stack, facet){ + data.frame(count, row=1:count, stack, facet) +} +df <- rbind( + make(2, 1, 1), + make(5, 1, 1), + make(3, 2, 1), + make(4, 2, 1), + make(2, 2, 2), + make(5, 2, 2), + make(3, 1, 2), + make(4, 1, 2) +) + +test_that("error for stat=bin and showSelected", { + gg <- ggplot() + + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_bar( + aes(count, group=stack, fill=stack, showSelected=facet), + binwidth=1, + data = df, + stat = "bin", + position="identity" + ) + gg+facet_grid(facet~.) + complicated <- list( + plot = gg + ) + expect_error({ + animint2HTML(complicated) + }, "showSelected does not work with StatBin, problem: geom1_bar_plot") +}) + +test_that("no warning for stat=bin without showSelected", { + gg <- ggplot() + + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_bar( + aes(count, group=stack, fill=stack), + binwidth=1, + data = df, + stat = "bin", + position="identity" + )+ + facet_grid(facet~.) + complicated <- list(plot = gg) + expect_no_warning({ + info <- animint2HTML(complicated) + }) + for(panel in 1:2){ + xpath <- sprintf('//g[@class="PANEL%d"]//rect', panel) + style.vec <- getStyleValue(info$html, xpath, "fill") + fill.counts <- table(style.vec) + expect_equal(length(fill.counts), 2) + } +}) diff --git a/tests/testthat/test-renderer4-NA-separate-lines.R b/tests/testthat/test-renderer4-NA-separate-lines.R new file mode 100644 index 000000000..6ae993294 --- /dev/null +++ b/tests/testthat/test-renderer4-NA-separate-lines.R @@ -0,0 +1,42 @@ +acontext("NA separate lines") + +data(txhousing) + +## ggplot2 draws separate lines when there are missing values. + +## san.marcos <- subset(txhousing, city=="San Marcos") +## ggplot()+ +## geom_line(aes(x = date, y = median), +## data=san.marcos) + +viz <- list( + ggdata=ggplot(txhousing)+ + geom_line(aes(x = date, y = median, group = city, + clickSelects=city), + alpha = 0.6), + selected=ggplot()+ + geom_line(aes(x = date, y = median, group = city, showSelected=city), + data=txhousing), + first=list(city="San Marcos") +) +info <- animint2HTML(viz) + +test_that("no NA in tsv files", { + geom1.tsv <- file.path("animint-htmltest", "geom1_line_ggdata_chunk1.tsv") + geom1.data <- read.table(geom1.tsv, sep="\t", header=TRUE) + expect_equal(sum(is.na(geom1.data)), 0) +}) + +test_that("three <path> rendered for highlighted San Marcos", { + xpath <- '//g[@class="geom1_line_ggdata"]//path' + path.list <- getNodeSet(info$html, xpath) + opacity.str <- getStyleValue(info$html, xpath, "opacity") + opacity.num <- as.numeric(opacity.str) + hilite.list <- path.list[opacity.num == 0.6] + expect_equal(length(hilite.list), 3) +}) + +test_that("three <path> rendered for selected San Marcos", { + path.list <- getNodeSet(info$html, '//g[@class="geom2_line_selected"]//path') + expect_equal(length(path.list), 3) +}) diff --git a/tests/testthat/test-renderer4-geom-point-stroke.R b/tests/testthat/test-renderer4-geom-point-stroke.R new file mode 100644 index 000000000..f95e6e004 --- /dev/null +++ b/tests/testthat/test-renderer4-geom-point-stroke.R @@ -0,0 +1,41 @@ +acontext("geom_point_stroke") + +stroke_in_R <- 5 +p1 <- ggplot(mtcars, aes(wt, mpg)) + + geom_point(shape = 21, colour = "black", fill = "white", + size = 5, stroke = stroke_in_R) + +p2 <- ggplot(mtcars, aes(wt, mpg, stroke=cyl)) + + geom_point(shape = 21, colour = "black", fill = "white", size = 5) + +viz <- list(p1=p1, p2=p2) +info <- animint2HTML(viz) + +test_that("points are rendered with stroke-width", { + stroke_vals <- + getStyleValue(info$html, '//g[@class="geom1_point_p1"]//circle', + "stroke-width") + # stroke-width is rendered for every point + expect_equal(length(stroke_vals), length(mtcars$wt)) + + stroke_vals_unique <- unique(stroke_vals) + expect_equal(length(stroke_vals_unique), 1) + + stroke_width_val <- as.numeric(gsub("[^0-9]", "", stroke_vals_unique)) + expect_equal(stroke_width_val, stroke_in_R) +}) + +test_that("aes(stroke) works", { + stroke_vals_2 <- + getStyleValue(info$html, '//g[@class="geom2_point_p2"]//circle', + "stroke-width") + + expect_equal(length(stroke_vals_2), length(mtcars$wt)) + + stroke_vals_unique_2 <- unique(stroke_vals_2) + expect_equal(length(stroke_vals_unique_2), length(unique(mtcars$cyl))) + + # Check that the values of the stroke are taken from mtcars$cyl + stroke_width_vals <- as.numeric(gsub("[^0-9]", "", stroke_vals_unique_2)) + expect_identical(sort(stroke_width_vals), sort(unique(mtcars$cyl))) +}) diff --git a/tests/testthat/test-renderer4-make-xrect.R b/tests/testthat/test-renderer4-make-xrect.R new file mode 100644 index 000000000..5aee967ae --- /dev/null +++ b/tests/testthat/test-renderer4-make-xrect.R @@ -0,0 +1,61 @@ +acontext("make_xrect") + +data(WorldBank, package = "animint") +not.na <- subset(WorldBank, !(is.na(life.expectancy) | is.na(fertility.rate))) +BOTH <- function(df, top, side){ + data.frame(df, + top=factor(top, c("Fertility rate", "Years")), + side=factor(side, c("Years", "Life expectancy"))) +} +TS <- function(df)BOTH(df, "Years", "Life expectancy") +SCATTER <- function(df)BOTH(df, "Fertility rate", "Life expectancy") +TS2 <- function(df)BOTH(df, "Fertility rate", "Years") +viz.data.fun <- list( + title="make_xrect with data.fun", + ts=ggplot()+ + xlab("")+ + make_tallrect(not.na, "year", data.fun=TS)+ + theme_bw()+ + theme_animint(width=1000, height=800)+ + theme(panel.margin=grid::unit(0, "lines"))+ + geom_line(aes(year, life.expectancy, group=country, colour=region, + clickSelects=country, id = country), + data=TS(not.na), size=4, alpha=3/5)+ + geom_point(aes(year, life.expectancy, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS(not.na))+ + geom_path(aes(fertility.rate, year, group=country, colour=region, + clickSelects=country), + data=TS2(not.na), size=4, alpha=3/5)+ + geom_point(aes(fertility.rate, year, color=region, size=population, + showSelected=country, clickSelects=country), + data=TS2(not.na))+ + make_widerect(not.na, "year", data.fun=TS2)+ + geom_point(aes(fertility.rate, life.expectancy, clickSelects=country, + showSelected=year, colour=region, size=population, + key=country), # key aesthetic for animated transitions! + data=SCATTER(not.na))+ + geom_text(aes(fertility.rate, life.expectancy, label=country, + showSelected=country, showSelected2=year, + clickSelects=country, + key=country), #also use key here! + data=SCATTER(not.na))+ + scale_size_animint(breaks=10^(5:9))+ + facet_grid(side ~ top, scales="free"), + duration=list(year=2000), + first=list(year=1975, country=c("United States", "Vietnam")), + selector.types=list(country="multiple")) +info <- animint2HTML(viz.data.fun) + +n.years <- length(unique(not.na$year)) + +test_that("correct number of widerects rendered", { + rect.list <- getNodeSet(info$html, '//g[@class="geom6_widerect_ts"]//rect') + expect_equal(length(rect.list), n.years) +}) + +test_that("correct number of tallrects rendered", { + rect.list <- getNodeSet(info$html, '//g[@class="geom1_tallrect_ts"]//rect') + expect_equal(length(rect.list), n.years) +}) + diff --git a/tests/testthat/test-renderer4-prostateLasso.R b/tests/testthat/test-renderer4-prostateLasso.R new file mode 100644 index 000000000..6ce69a87e --- /dev/null +++ b/tests/testthat/test-renderer4-prostateLasso.R @@ -0,0 +1,112 @@ +acontext("prostateLasso data set") + +data(prostateLasso) + +variable.colors <- c( + "#E41A1C", "#377EB8", "#4DAF4A", "#984EA3", "#FF7F00", "#FFFF33", + "#A65628", "#F781BF", "#999999") +hline.df <- data.frame(residual=0) +arclength <- prostateLasso$models$arclength +rect.width <- diff(arclength[1:2])/2 +tallrect.all <- expand.grid( + arclength.click=arclength, + arclength.show=arclength) +addY <- function(dt, y){ + data.frame(dt, y.var=factor(y, c("error", "weights"))) +} +viz.no.time <- list( + title="both .variable .value aesthetics", + path=ggplot()+ + theme_bw()+ + theme(panel.margin=grid::unit(0, "lines"))+ + facet_grid(y.var ~ ., scales="free")+ + ylab("")+ + scale_color_manual(values=variable.colors)+ + geom_line(aes(arclength, standardized.coef, color=variable, group=variable), + data=addY(prostateLasso$path, "weights"))+ + geom_line(aes(arclength, mse, linetype=set, group=set), + data=addY(prostateLasso$error, "error"))+ + geom_tallrect(aes( + xmin=arclength.click-rect.width, + xmax=arclength.click+rect.width, + id=paste0("arclength", round(arclength.click, 1)*10), + clickSelects.variable="arclength", + clickSelects.value=arclength.click, + showSelected.variable="arclength", + showSelected.value=arclength.show, + key=ifelse( + arclength.click==arclength.show, 1, + paste(arclength.click, arclength.show))), + alpha=0.5, + data=addY(tallrect.all, "error")), + res=ggplot()+ + geom_hline(aes(yintercept=residual), + data=hline.df, + color="grey")+ + guides(linetype="none")+ + geom_point(aes(response, residual, + key=observation.i, + showSelected=arclength), + shape=21, + fill=NA, + color="black", + data=prostateLasso$residuals)+ + geom_segment(aes(response, residual, + xend=response, yend=0, + linetype=set, + key=observation.i, + showSelected=arclength), + data=prostateLasso$residuals), + first=list(arclength=max(arclength)), + duration=list(arclength=5000)) +info <- animint2HTML(viz.no.time) + +clickID("arclength0") +Sys.sleep(1) +html.during <- getHTML() +Sys.sleep(5) +html.after <- getHTML() + +getGreyRect <- function(html){ + xpath <- '//g[@class="geom3_tallrect_path"]//rect' + node.list <- getNodeSet(html, xpath) + opacity.str <- getStyleValue(html, xpath, "opacity") + opacity.num <- as.numeric(opacity.str) + grey.i <- which(opacity.num == 0.5) + node.list[[grey.i]] +} +getGreyX <- function(html){ + grey.rect <- getGreyRect(html) + attr.vec <- xmlAttrs(grey.rect) + as.numeric(attr.vec[["x"]]) +} + +test_that("selected tallrect moves to the left", { + x.before <- getGreyX(info$html) + x.during <- getGreyX(html.during) + expect_lt(x.during, x.before) + x.after <- getGreyX(html.after) + expect_lt(x.after, x.during) +}) + +clickID("arclength174") +html.click2 <- getHTML() + +test_that("tallrect displays correct tooltip", { + r <- getGreyRect(html.click2) + child.list <- xmlChildren(r) + expect_identical(names(child.list), "title") + value.vec <- sapply(child.list, xmlValue) + expect_identical(paste(value.vec), "arclength 17.4461019561232") +}) + +viz.time <- viz.no.time +viz.time$time <- list(variable="arclength", ms=5000) + +test_that("viz with time option compiles", { + expect_no_warning({ + info <- animint2HTML(viz.time) + }) + expect_identical(info$time$sequence, paste(arclength)) +}) + diff --git a/tests/testthat/test-renderer4-update-axes-multiple-ss.R b/tests/testthat/test-renderer4-update-axes-multiple-ss.R new file mode 100644 index 000000000..6755f4f04 --- /dev/null +++ b/tests/testthat/test-renderer4-update-axes-multiple-ss.R @@ -0,0 +1,330 @@ +acontext("update_axes - multiple single selectors") + +## Test for appropriate warnings +set.seed(123) + +# Empty domains in axis updates -> generate warning +data_f1 <- data.frame(a=runif(30, 1, 30), b=sample(1:30)) +data_f1$ss1 <- as.factor(1:3) +data_f1$ss2 <- as.factor(c("alpha", "beta")) +data_f1$ss3 <- as.factor(c("A", "A", "B")) +# factors "1" & "2" are never paired with factor "B" +# factor "3" is never paired with factor "A" +plot1 <- ggplot() + geom_point(aes(a,b, showSelected1=ss1, + showSelected2=ss2, + showSelected3=ss3), + data = data_f1) + + theme_animint(update_axes=c("x")) +viz <- list(p=plot1) + +viz$selector.types <- list(ss1="single", ss2="single", ss3="single") +expect_warning(animint2HTML(viz), + "some data subsets have no data to plot") + +# Only a single unique value in domains for axis updates -> generate warning +data_f2 <- data.frame(a=runif(6, 1, 6), b=sample(1:6)) +data_f2$ss1 <- as.factor(1:3) +data_f2$ss2 <- as.factor(c("alpha", "beta")) +# Each factor interaction only possesses a single value +plot2 <- ggplot() + geom_point(aes(a,b, showSelected1=ss1, + showSelected2=ss2), + data = data_f2) + + theme_animint(update_axes=c("x")) +viz <- list(p=plot2) + +viz$selector.types <- list(ss1="single", ss2="single") +expect_warning(animint2HTML(viz), + "some data subsets have only a single data value to plot") + +# Axes updates for more than one single selectors -> no warnings +data_f3 <- data.frame(a=runif(60, 1, 60), b=sample(1:60)) +data_f3$ss1 <- as.factor(1:3) +data_f3$ss2 <- as.factor(c("alpha", "beta")) +plot3 <- ggplot() + geom_point(aes(a,b, colour=ss1, + showSelected2=ss2), + data = data_f3) + +viz <- list(p=plot3 + theme_animint(update_axes=c("x"))) + +viz$selector.types <- list(ss1="single", ss2="single") +expect_no_warning(animint2HTML(viz)) + +## --------------------------------------------------------------------- ## +## Tests for axis updates for more than one showSelected vars + +# Plots with axis updates +no_updates <- plot3 + +update_x <- no_updates+ + theme_animint(update_axes=c("x")) +update_y <- no_updates+ + theme_animint(update_axes=c("y")) +update_xy <- no_updates+ + theme_animint(update_axes=c("x","y")) + +viz <- (list(neither=no_updates, + x=update_x, + y=update_y, + both=update_xy)) + +viz$selector.types <- list(ss1="single", ss2="single") +viz$time = list(variable="ss2", ms=5000) + +info <- animint2HTML(viz) + +# Update selection and get HTML +clickID(c("plot_neither_ss1_variable_3")) +Sys.sleep(1) +info$html_updated1 <- getHTML() + +# Let the gear variable change and get HTML +# Also checks for automatic axis updates with animation +Sys.sleep(6) +info$html_updated2 <- getHTML() + +## --------------------------------------------------------------------- ## +## Test for tick updates + +rect_path <- "//svg[@id='plot_%s']//g[contains(@class, '%saxis')]" +all_rect_paths <- lapply(names(viz), sprintf, fmt=rect_path, + c("x","y"))[1:4] + +# Take tick diffs for all 4 plots +rect_nodes1 <- sapply(all_rect_paths, getNodeSet, doc=info$html) +original_tick_diff_x <- sapply(rect_nodes1[1, ], getTickDiff, axis="x") +original_tick_diff_y <- sapply(rect_nodes1[2, ], getTickDiff, axis="y") + +rect_nodes2 <- sapply(all_rect_paths, getNodeSet, doc=info$html_updated1) +updated_tick_diff_x1 <- sapply(rect_nodes2[1, ], getTickDiff, axis="x") +updated_tick_diff_y1 <- sapply(rect_nodes2[2, ], getTickDiff, axis="y") + +rect_nodes3 <- sapply(all_rect_paths, getNodeSet, doc=info$html_updated2) +updated_tick_diff_x2 <- sapply(rect_nodes3[1, ], getTickDiff, axis="x") +updated_tick_diff_y2 <- sapply(rect_nodes3[2, ], getTickDiff, axis="y") + +test_that("axis ticks change when plots are updated",{ + # initial updates -> axis ticks are different for x and y axis + expect_length(unique(original_tick_diff_x), 2) + expect_length(unique(original_tick_diff_y), 2) + + #no_updates + expect_equal(updated_tick_diff_x1[1], original_tick_diff_x[1]) + expect_equal(updated_tick_diff_y1[1], original_tick_diff_y[1]) + expect_equal(updated_tick_diff_x2[1], original_tick_diff_x[1]) + expect_equal(updated_tick_diff_y2[1], original_tick_diff_y[1]) + + #update_x + expect_true(unequal(updated_tick_diff_x1[2], original_tick_diff_x[2], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_x2[2], original_tick_diff_x[2], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_x2[2], updated_tick_diff_x1[2], + tolerance=0.01)) + expect_equal(updated_tick_diff_y1[2], original_tick_diff_y[2]) + expect_equal(updated_tick_diff_y2[2], original_tick_diff_y[2]) + + #update_y + expect_equal(updated_tick_diff_x1[3], original_tick_diff_x[3]) + expect_equal(updated_tick_diff_x2[3], original_tick_diff_x[3]) + expect_true(unequal(updated_tick_diff_y1[3], original_tick_diff_y[3], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y2[3], original_tick_diff_y[3], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y2[3], updated_tick_diff_y1[3], + tolerance=0.01)) + + #update_xy + expect_true(unequal(updated_tick_diff_x1[4], original_tick_diff_x[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_x2[4], original_tick_diff_x[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_x2[4], updated_tick_diff_x1[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y1[4], original_tick_diff_y[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y2[4], original_tick_diff_y[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y2[4], updated_tick_diff_y1[4], + tolerance=0.01)) +}) + + +## ------------------------------------------------------------------- ## +## Test for grid updates + +## get both horizontal and vertical grid lines +get_grid_lines <- function(html, p_name, grid_class){ + path.i <- + '//svg[@id="plot_%s"]//g[@class="grid_%s"]//g[@class="%s"]//line' + path.hor <- sprintf(path.i, p_name, grid_class, "hor") + path.vert <- sprintf(path.i, p_name, grid_class, "vert") + nodes_h <- getNodeSet(html, path.hor) + nodes_v <- getNodeSet(html, path.vert) + # take x1, x2, y1, y2 values only + attr_h <- sapply(nodes_h, xmlAttrs)[1:4, ] + attr_v <- sapply(nodes_v, xmlAttrs)[1:4, ] + attr_h <- apply(attr_h, 2, as.numeric) + attr_v <- apply(attr_v, 2, as.numeric) + return(list(hor=attr_h, vert=attr_v)) +} + +minor_grid_attr1 <- minor_grid_attr2 <- minor_grid_attr3 <- list() +major_grid_attr1 <- major_grid_attr2 <- major_grid_attr3 <- list() + +p_names <- names(viz)[1:4] +for(p.name in p_names){ + major_grid_attr1[[p.name]] <- get_grid_lines(info$html, p.name, "major") + major_grid_attr2[[p.name]] <- get_grid_lines(info$html_updated1, + p.name, "major") + major_grid_attr3[[p.name]] <- get_grid_lines(info$html_updated2, + p.name, "major") + + minor_grid_attr1[[p.name]] <- get_grid_lines(info$html, p.name, "minor") + minor_grid_attr2[[p.name]] <- get_grid_lines(info$html_updated1, + p.name, "minor") + minor_grid_attr3[[p.name]] <- get_grid_lines(info$html_updated2, + p.name, "minor") +} + +test_that("major grids are updated",{ + # initial grid updates + expect_true(unequal(major_grid_attr1$x, major_grid_attr1$neither)) + expect_true(unequal(major_grid_attr1$y, major_grid_attr1$neither)) + expect_true(unequal(major_grid_attr1$both, major_grid_attr1$neither)) + expect_true(unequal(major_grid_attr1$x, major_grid_attr1$neither)) + expect_true(unequal(major_grid_attr1$y, major_grid_attr1$neither)) + expect_true(unequal(major_grid_attr1$both, major_grid_attr1$neither)) + + #no_updates + expect_identical(major_grid_attr2$neither, major_grid_attr1$neither) + expect_identical(major_grid_attr3$neither, major_grid_attr1$neither) + + #update_x -> only vert grids are updated + expect_identical(major_grid_attr2$x$hor, major_grid_attr1$x$hor) + expect_identical(major_grid_attr3$x$hor, major_grid_attr1$x$hor) + expect_true(unequal(major_grid_attr2$x$vert, + major_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$x$vert, + major_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$x$vert, + major_grid_attr2$x$vert, tolerance=0.01)) + + #update_y -> only hor grids are updated + expect_true(unequal(major_grid_attr2$y$hor, + major_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$y$hor, + major_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$y$hor, + major_grid_attr2$y$hor, tolerance=0.01)) + expect_identical(major_grid_attr2$y$vert, major_grid_attr1$y$vert) + expect_identical(major_grid_attr3$y$vert, major_grid_attr1$y$vert) + + #update_xy -> both vert and hor grids updated + expect_true(unequal(major_grid_attr2$both$hor, + major_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$hor, + major_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$hor, + major_grid_attr2$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr2$both$vert, + major_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$vert, + major_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$vert, + major_grid_attr2$both$vert, tolerance=0.01)) +}) + +test_that("minor grids are updated",{ + # initial grid updates + expect_true(unequal(minor_grid_attr1$x, minor_grid_attr1$neither)) + expect_true(unequal(minor_grid_attr1$y, minor_grid_attr1$neither)) + expect_true(unequal(minor_grid_attr1$both, minor_grid_attr1$neither)) + expect_true(unequal(minor_grid_attr1$x, minor_grid_attr1$neither)) + expect_true(unequal(minor_grid_attr1$y, minor_grid_attr1$neither)) + expect_true(unequal(minor_grid_attr1$both, minor_grid_attr1$neither)) + + #no_updates + expect_identical(minor_grid_attr2$neither, minor_grid_attr1$neither) + expect_identical(minor_grid_attr3$neither, minor_grid_attr1$neither) + + #update_x -> only vert grids are updated + expect_identical(minor_grid_attr2$x$hor, minor_grid_attr1$x$hor) + expect_identical(minor_grid_attr3$x$hor, minor_grid_attr1$x$hor) + expect_true(unequal(minor_grid_attr2$x$vert, + minor_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$x$vert, + minor_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$x$vert, + minor_grid_attr2$x$vert, tolerance=0.01)) + + #update_y -> only hor grids are updated + expect_true(unequal(minor_grid_attr2$y$hor, + minor_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$y$hor, + minor_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$y$hor, + minor_grid_attr2$y$hor, tolerance=0.01)) + expect_identical(minor_grid_attr2$y$vert, minor_grid_attr1$y$vert) + expect_identical(minor_grid_attr3$y$vert, minor_grid_attr1$y$vert) + + #update_xy -> both vert and hor grids updated + expect_true(unequal(minor_grid_attr2$both$hor, + minor_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$hor, + minor_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$hor, + minor_grid_attr2$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr2$both$vert, + minor_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$vert, + minor_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$vert, + minor_grid_attr2$both$vert, tolerance=0.01)) +}) + +## -------------------------------------------------------------------- ## +## Test for zooming of geoms + +## Get ranges of geoms +no_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom1_point_neither") +no_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom1_point_neither") + +x_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom2_point_x") +x_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom2_point_x") + +y_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom3_point_y") +y_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom3_point_y") + +xy_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom4_point_both") +xy_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom4_point_both") + +test_that("geoms get zoomed-in upon changing selection", { + # no_updates + expect_true(unequal(no_updates_ranges2$x, no_updates_ranges1$x, + tolerance=0.01)) + expect_true(unequal(no_updates_ranges2$y, no_updates_ranges1$y, + tolerance=0.01)) + + # x_updates + expect_equal(x_updates_ranges2$x, x_updates_ranges1$x, tolerance=0.0001) + expect_true(unequal(x_updates_ranges2$y, x_updates_ranges1$y, + tolerance=0.01)) + + # y_updates + expect_true(unequal(y_updates_ranges2$x, y_updates_ranges1$x, + tolerance=0.01)) + expect_equal(y_updates_ranges2$y, y_updates_ranges1$y, tolerance=0.0001) + + # xy_updates + expect_equal(xy_updates_ranges2$x, xy_updates_ranges1$x, tolerance=0.0001) + expect_equal(xy_updates_ranges2$y, xy_updates_ranges1$y, tolerance=0.0001) +}) + diff --git a/tests/testthat/test-renderer4-update-axes.R b/tests/testthat/test-renderer4-update-axes.R new file mode 100644 index 000000000..6ef68afb8 --- /dev/null +++ b/tests/testthat/test-renderer4-update-axes.R @@ -0,0 +1,514 @@ +acontext("update_axes") + +# Plots with axis updates +mtcars$cyl <- as.factor(mtcars$cyl) + +no_updates <- ggplot()+geom_point(aes(mpg, disp, + colour=cyl), + data = mtcars) + +update_x <- no_updates+ + theme_animint(update_axes=c("x")) +update_y <- no_updates+ + theme_animint(update_axes=c("y")) +update_xy <- no_updates+ + theme_animint(update_axes=c("x","y")) + +viz <- (list(neither=no_updates, + x=update_x, + y=update_y, + both=update_xy)) + +expect_warning(animint2HTML(viz), + paste("update_axes specified for X axis on plot x", + "but found no geoms with showSelected=singleSelectionVariable,", + "so created a plot with no updates for X axis")) + + +# We only update axes for single selectors +viz$selector.types = list(cyl="single") + +expect_no_warning(info <- animint2HTML(viz)) + +# We only apply axes updates for numeric data +# This test fails if any column used has non-numeric data +# and does not produce an error +d <- mtcars +d$disp <- as.factor(d$disp) +non_numeric_updates <- ggplot()+geom_point(aes(mpg, disp, colour=cyl), + data = d) + + theme_animint(update_axes = c("x", "y")) +viz_fac <- list(nonNum = non_numeric_updates) +viz_fac$selector.types = list(cyl="single") +# No error for X(mpg) axis, but one for Y(disp) axis +expect_error(animint2HTML(viz_fac), + paste("'update_axes' specified for 'Y' axis on plot", + "'nonNum' but the column 'disp' is non-numeric.", + "Axes updates are only available for numeric data.")) + +# Update selection and get HTML +clickID(c("plot_neither_cyl_variable_8")) +Sys.sleep(0.5) +info$html_updated1 <- getHTML() + +# Update selection and get HTML +clickID(c("plot_neither_cyl_variable_4")) +Sys.sleep(0.5) +info$html_updated2 <- getHTML() + + +## ------------------------------------------------------------------- ## +## Test for tick updates + +rect_path <- "//svg[@id='plot_%s']//g[contains(@class, '%saxis')]" +all_rect_paths <- lapply(names(viz), sprintf, fmt=rect_path, + c("x","y"))[1:4] + +# Take tick diffs for all 4 plots +rect_nodes1 <- sapply(all_rect_paths, getNodeSet, doc=info$html) +original_tick_diff_x <- sapply(rect_nodes1[1, ], getTickDiff, axis="x") +original_tick_diff_y <- sapply(rect_nodes1[2, ], getTickDiff, axis="y") + +rect_nodes2 <- sapply(all_rect_paths, getNodeSet, doc=info$html_updated1) +updated_tick_diff_x <- sapply(rect_nodes2[1, ], getTickDiff, axis="x") +updated_tick_diff_y <- sapply(rect_nodes2[2, ], getTickDiff, axis="y") + +test_that("axis ticks change when plots are updated",{ + # initial updates -> axis ticks are different for x and y axis + expect_length(unique(original_tick_diff_x), 2) + expect_length(unique(original_tick_diff_y), 2) + + #no_updates + expect_equal(updated_tick_diff_x[1], original_tick_diff_x[1]) + expect_equal(updated_tick_diff_y[1], original_tick_diff_y[1]) + + #update_x + expect_true(unequal(updated_tick_diff_x[2], original_tick_diff_x[2], + tolerance=0.01)) + expect_equal(updated_tick_diff_y[2], original_tick_diff_y[2]) + + #update_y + expect_equal(updated_tick_diff_x[3], original_tick_diff_x[3]) + expect_true(unequal(updated_tick_diff_y[3], original_tick_diff_y[3], + tolerance=0.01)) + + #update_xy + expect_true(unequal(updated_tick_diff_x[4], original_tick_diff_x[4], + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y[4], original_tick_diff_y[4], + tolerance=0.01)) +}) + + +## ------------------------------------------------------------------- ## +## Test for grid updates + +## get both horizontal and vertical grid lines +get_grid_lines <- function(html, p_name, grid_class){ + path.i <- + '//svg[@id="plot_%s"]//g[@class="grid_%s"]//g[@class="%s"]//line' + path.hor <- sprintf(path.i, p_name, grid_class, "hor") + path.vert <- sprintf(path.i, p_name, grid_class, "vert") + nodes_h <- getNodeSet(html, path.hor) + nodes_v <- getNodeSet(html, path.vert) + # take x1, x2, y1, y2 values only + attr_h <- sapply(nodes_h, xmlAttrs)[1:4, ] + attr_v <- sapply(nodes_v, xmlAttrs)[1:4, ] + attr_h <- apply(attr_h, 2, as.numeric) + attr_v <- apply(attr_v, 2, as.numeric) + return(list(hor=attr_h, vert=attr_v)) +} + +minor_grid_attr1 <- minor_grid_attr2 <- minor_grid_attr3 <- list() +major_grid_attr1 <- major_grid_attr2 <- major_grid_attr3 <- list() + +p_names <- names(viz)[1:4] +for(p.name in p_names){ + major_grid_attr1[[p.name]] <- get_grid_lines(info$html, p.name, "major") + major_grid_attr2[[p.name]] <- get_grid_lines(info$html_updated1, + p.name, "major") + major_grid_attr3[[p.name]] <- get_grid_lines(info$html_updated2, + p.name, "major") + + minor_grid_attr1[[p.name]] <- get_grid_lines(info$html, p.name, "minor") + minor_grid_attr2[[p.name]] <- get_grid_lines(info$html_updated1, + p.name, "minor") + minor_grid_attr3[[p.name]] <- get_grid_lines(info$html_updated2, + p.name, "minor") +} + +test_that("major grids are updated",{ + # initial grid updates + expect_true(unequal(major_grid_attr1$x, major_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$y, major_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$both, major_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$x, major_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$y, major_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$both, major_grid_attr1$neither, + tolerance=0.01)) + + # no_updates + expect_equal(major_grid_attr2$neither, major_grid_attr1$neither) + expect_equal(major_grid_attr3$neither, major_grid_attr1$neither) + + # update_x -> only vert grids are updated + expect_equal(major_grid_attr2$x$hor, major_grid_attr1$x$hor) + expect_equal(major_grid_attr3$x$hor, major_grid_attr1$x$hor) + expect_true(unequal(major_grid_attr2$x$vert, + major_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$x$vert, + major_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$x$vert, + major_grid_attr2$x$vert, tolerance=0.01)) + + # update_y -> only hor grids are updated + expect_true(unequal(major_grid_attr2$y$hor, + major_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$y$hor, + major_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$y$hor, + major_grid_attr2$y$hor, tolerance=0.01)) + expect_equal(major_grid_attr2$y$vert, major_grid_attr1$y$vert) + expect_equal(major_grid_attr3$y$vert, major_grid_attr1$y$vert) + + # update_xy -> both vert and hor grids updated + expect_true(unequal(major_grid_attr2$both$hor, + major_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$hor, + major_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$hor, + major_grid_attr2$both$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr2$both$vert, + major_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$vert, + major_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(major_grid_attr3$both$vert, + major_grid_attr2$both$vert, tolerance=0.01)) +}) + +test_that("minor grids are updated",{ + # initial grid updates + expect_true(unequal(minor_grid_attr1$x, minor_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$y, minor_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$both, minor_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$x, minor_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$y, minor_grid_attr1$neither, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$both, minor_grid_attr1$neither, + tolerance=0.01)) + + # no_updates + expect_equal(minor_grid_attr2$neither, minor_grid_attr1$neither) + expect_equal(minor_grid_attr3$neither, minor_grid_attr1$neither) + + # update_x -> only vert grids are updated + expect_equal(minor_grid_attr2$x$hor, minor_grid_attr1$x$hor) + expect_equal(minor_grid_attr3$x$hor, minor_grid_attr1$x$hor) + expect_true(unequal(minor_grid_attr2$x$vert, + minor_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$x$vert, + minor_grid_attr1$x$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$x$vert, + minor_grid_attr2$x$vert, tolerance=0.01)) + + # update_y -> only hor grids are updated + expect_true(unequal(minor_grid_attr2$y$hor, + minor_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$y$hor, + minor_grid_attr1$y$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$y$hor, + minor_grid_attr2$y$hor, tolerance=0.01)) + expect_equal(minor_grid_attr2$y$vert, minor_grid_attr1$y$vert) + expect_equal(minor_grid_attr3$y$vert, minor_grid_attr1$y$vert) + + # update_xy -> both vert and hor grids updated + expect_true(unequal(minor_grid_attr2$both$hor, + minor_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$hor, + minor_grid_attr1$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$hor, + minor_grid_attr2$both$hor, tolerance=0.01)) + expect_true(unequal(minor_grid_attr2$both$vert, + minor_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$vert, + minor_grid_attr1$both$vert, tolerance=0.01)) + expect_true(unequal(minor_grid_attr3$both$vert, + minor_grid_attr2$both$vert, tolerance=0.01)) +}) + +## -------------------------------------------------------------------- ## +## Test for zooming of geoms + +## Get ranges of geoms +no_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom1_point_neither") +no_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom1_point_neither") + +x_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom2_point_x") +x_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom2_point_x") + +y_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom3_point_y") +y_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom3_point_y") + +xy_updates_ranges1 <- get_pixel_ranges(info$html_updated1, + "geom4_point_both") +xy_updates_ranges2 <- get_pixel_ranges(info$html_updated2, + "geom4_point_both") + +test_that("geoms get zoomed-in upon changing selection", { + # no_updates + expect_true(unequal(no_updates_ranges2$x, no_updates_ranges1$x, + tolerance=0.01)) + expect_true(unequal(no_updates_ranges2$y, no_updates_ranges1$y, + tolerance=0.01)) + + # x_updates + expect_equal(x_updates_ranges2$x, x_updates_ranges1$x) + expect_true(unequal(x_updates_ranges2$y, x_updates_ranges1$y, + tolerance=0.01)) + + # y_updates + expect_true(unequal(y_updates_ranges2$x, y_updates_ranges1$x, + tolerance=0.01)) + expect_equal(y_updates_ranges2$y, y_updates_ranges1$y) + + # xy_updates + expect_equal(xy_updates_ranges2$x, xy_updates_ranges1$x) + expect_equal(xy_updates_ranges2$y, xy_updates_ranges1$y) +}) + +## ------------------------------------------------------------------- ## +## Test for different geoms - ribbon, rect, segment, text +## We test each for no warnings, axis tick updates and grid updates + +## ------------------------- geom_ribbon ----------------------------- ## +set.seed(132) +ribbondata <- data.frame(x=seq(0, 1, .1), ymin=runif(11, 0, 1), ymax=runif(11, 1, 2)) +ribbondata <- rbind(cbind(ribbondata, group="low"), + cbind(ribbondata, group="medium"), + cbind(ribbondata, group="high")) +ribbondata[12:22,2:3] <- ribbondata[12:22,2:3]+runif(11, 1, 10) +ribbondata[23:33,2:3] <- ribbondata[12:22,2:3]+runif(11, 1, 10) +ribbon <- ggplot() + + geom_ribbon(data=ribbondata, aes(x=x, ymin=ymin, ymax=ymax, group=group, fill=group), alpha=.5) + + ggtitle("geom_ribbon") + + theme_animint(update_axes = c("y")) +viz <- list(ribbon=ribbon, selector.types=list(group="single")) +expect_no_warning(info <- animint2HTML(viz)) + +# Update selection and get HTML +clickID(c("plot_ribbon_group_variable_high")) +Sys.sleep(0.5) +info$html_updated <- getHTML() + +minor_grid_attr1 <- major_grid_attr1 <- minor_grid_attr2 <- + major_grid_attr2 <- list() + +minor_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "minor") +minor_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "minor") +major_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "major") +major_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "major") + +test_that("geom_ribbon has grid updates", { + # y axis updates -> hor grids updated + expect_identical(minor_grid_attr1$vert, minor_grid_attr2$vert) + expect_identical(major_grid_attr1$vert, major_grid_attr2$vert) + expect_true(unequal(minor_grid_attr1$hor, + minor_grid_attr2$hor, tolerance=0.01)) + expect_true(unequal(major_grid_attr1$hor, + major_grid_attr2$hor, tolerance=0.01)) +}) + +path.i <- "//svg[@id='plot_ribbon']//g[contains(@class, 'yaxis')]" +nodes1 <- getNodeSet(info$html, path.i) +nodes2 <- getNodeSet(info$html_updated, path.i) +original_tick_diff <- sapply(nodes1, getTickDiff, axis="y") +updated_tick_diff <- sapply(nodes2, getTickDiff, axis="y") + +test_that("geom_ribbon has axis tick updates", { + expect_true(unequal(updated_tick_diff, original_tick_diff, tolerance=0.01)) +}) + +## ------------------------- geom_rect ----------------------------- ## +data_f <- data.frame(xmin=c(1, 3, 9, 19), + xmax=c(4, 25, 16, 32), + ymin=c(3, 4, 8, 14), + ymax=c(6, 12, 18, 28), + z=as.factor(c(1:4))) + +rect <- ggplot() + geom_rect(aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, + colour=z,fill=z), + data = data_f) + + theme_animint(update_axes=c("x", "y")) +viz <- list(rect=rect) +viz$selector.types <- list(z="single") +expect_no_warning(info <- animint2HTML(viz)) + +# Update selection and get HTML +clickID(c("plot_rect_z_variable_3")) +Sys.sleep(0.5) +info$html_updated <- getHTML() + +minor_grid_attr1 <- major_grid_attr1 <- minor_grid_attr2 <- + major_grid_attr2 <- list() + +minor_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "minor") +minor_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "minor") +major_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "major") +major_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "major") + +test_that("geom_rect has grid updates",{ + # xy axis updates -> both vert/hor grids updated + expect_true(unequal(minor_grid_attr1$vert, minor_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$vert, major_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$hor, minor_grid_attr2$hor, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$hor, major_grid_attr2$hor, + tolerance=0.01)) +}) + +path.i <- "//svg[@id='plot_rect']//g[contains(@class, '%saxis')]" +path.xy <- sapply(c("x", "y"), sprintf, fmt=path.i) +nodes1_x <- getNodeSet(info$html, path.xy[["x"]]) +nodes1_y <- getNodeSet(info$html, path.xy[["y"]]) +nodes2_x <- getNodeSet(info$html_updated, path.xy[["x"]]) +nodes2_y <- getNodeSet(info$html_updated, path.xy[["y"]]) + +original_tick_diff_x <- sapply(nodes1_x, getTickDiff, axis="x") +original_tick_diff_y <- sapply(nodes1_y, getTickDiff, axis="y") +updated_tick_diff_x <- sapply(nodes2_x, getTickDiff, axis="x") +updated_tick_diff_y <- sapply(nodes2_y, getTickDiff, axis="y") + +test_that("geom_rect has axis tick updates", { + expect_true(unequal(updated_tick_diff_x, original_tick_diff_x, + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y, original_tick_diff_y, + tolerance=0.01)) +}) + +## ----------------------- geom_segment ----------------------------- ## +data_f <- data.frame(x1=c(runif(10, 0, 10),runif(10, 10, 20),runif(10, 20, 30), + runif(10, 30, 40)), + x2=runif(40, 0, 10), + y1=c(runif(10, -10, 10),runif(10, 0, 20),runif(10, 20, 30), + runif(10, -30, 50)), + y2=runif(40, 0, 40), + ss = as.factor(rep(1:4,each=10))) + +segment <- ggplot() + + geom_segment(aes(x=x1, y=y1, xend=x2, yend=y2, colour=ss), + data=data_f) + + theme_animint(update_axes=c("x", "y")) +viz <- list(segment=segment, selector.types=list(ss="single")) +expect_no_warning(info <- animint2HTML(viz)) + +# Update selection and get HTML +clickID(c("plot_segment_ss_variable_3")) +Sys.sleep(0.5) +info$html_updated <- getHTML() + +minor_grid_attr1 <- major_grid_attr1 <- minor_grid_attr2 <- + major_grid_attr2 <- list() + +minor_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "minor") +minor_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "minor") +major_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "major") +major_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "major") + +test_that("geom_segment has grid updates",{ + # xy axis updates -> both vert/hor grids updated + expect_true(unequal(minor_grid_attr1$vert, minor_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$vert, major_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$hor, minor_grid_attr2$hor, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$hor, major_grid_attr2$hor, + tolerance=0.01)) +}) + +path.i <- "//svg[@id='plot_segment']//g[contains(@class, '%saxis')]" +path.xy <- sapply(c("x", "y"), sprintf, fmt=path.i) +nodes1_x <- getNodeSet(info$html, path.xy[["x"]]) +nodes1_y <- getNodeSet(info$html, path.xy[["y"]]) +nodes2_x <- getNodeSet(info$html_updated, path.xy[["x"]]) +nodes2_y <- getNodeSet(info$html_updated, path.xy[["y"]]) + +original_tick_diff_x <- sapply(nodes1_x, getTickDiff, axis="x") +original_tick_diff_y <- sapply(nodes1_y, getTickDiff, axis="y") +updated_tick_diff_x <- sapply(nodes2_x, getTickDiff, axis="x") +updated_tick_diff_y <- sapply(nodes2_y, getTickDiff, axis="y") + +test_that("geom_segment has axis tick updates", { + expect_true(unequal(updated_tick_diff_x, original_tick_diff_x, + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y, original_tick_diff_y, + tolerance=0.01)) +}) + +## ------------------------- geom_text ------------------------- ## +text <- ggplot() + geom_text(aes(mpg, disp, colour=cyl, label=hp), + data = mtcars) + + theme_animint(update_axes=c("x", "y")) +viz <- list(text=text, selector.types=list(cyl="single")) +expect_no_warning(info <- animint2HTML(viz)) + +# Update selection and get HTML +clickID(c("plot_text_cyl_variable_4")) +Sys.sleep(0.5) +info$html_updated <- getHTML() + +minor_grid_attr1 <- major_grid_attr1 <- minor_grid_attr2 <- + major_grid_attr2 <- list() + +minor_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "minor") +minor_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "minor") +major_grid_attr1 <- get_grid_lines(info$html, names(viz)[[1]], "major") +major_grid_attr2 <- get_grid_lines(info$html_updated, names(viz)[[1]], "major") + +test_that("geom_text has grid updates",{ + # xy axis updates -> both vert/hor grids updated + expect_true(unequal(minor_grid_attr1$vert, minor_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$vert, major_grid_attr2$vert, + tolerance=0.01)) + expect_true(unequal(minor_grid_attr1$hor, minor_grid_attr2$hor, + tolerance=0.01)) + expect_true(unequal(major_grid_attr1$hor, major_grid_attr2$hor, + tolerance=0.01)) +}) + +path.i <- "//svg[@id='plot_text']//g[contains(@class, '%saxis')]" +path.xy <- sapply(c("x", "y"), sprintf, fmt=path.i) +nodes1_x <- getNodeSet(info$html, path.xy[["x"]]) +nodes1_y <- getNodeSet(info$html, path.xy[["y"]]) +nodes2_x <- getNodeSet(info$html_updated, path.xy[["x"]]) +nodes2_y <- getNodeSet(info$html_updated, path.xy[["y"]]) + +original_tick_diff_x <- sapply(nodes1_x, getTickDiff, axis="x") +original_tick_diff_y <- sapply(nodes1_y, getTickDiff, axis="y") +updated_tick_diff_x <- sapply(nodes2_x, getTickDiff, axis="x") +updated_tick_diff_y <- sapply(nodes2_y, getTickDiff, axis="y") + +test_that("geom_text has axis tick updates", { + expect_true(unequal(updated_tick_diff_x, original_tick_diff_x, + tolerance=0.01)) + expect_true(unequal(updated_tick_diff_y, original_tick_diff_y, + tolerance=0.01)) +}) diff --git a/tests/testthat/test-renderer5-tooltip-interactivity.R b/tests/testthat/test-renderer5-tooltip-interactivity.R new file mode 100644 index 000000000..eea9140c0 --- /dev/null +++ b/tests/testthat/test-renderer5-tooltip-interactivity.R @@ -0,0 +1,59 @@ +acontext("tooltip-interactivity") + +data("CO2") + +plot_viz <- ggplot() + + geom_point(aes(conc, uptake, color=Treatment, tooltip=Plant), + data = CO2) +viz <- list(p=plot_viz) +info <- animint2HTML(viz) + +# Hide titles with Treatment = "nonchilled" +clickID(c("plot_p_Treatment_variable_nonchilled")) +Sys.sleep(0.5) +info$html_updated1 <- getHTML() + +# Hide all titles +clickID(c("plot_p_Treatment_variable_chilled")) +Sys.sleep(0.5) +info$html_updated2 <- getHTML() + +# Show titles with Treatment = "nonchilled" +clickID(c("plot_p_Treatment_variable_nonchilled")) +Sys.sleep(0.5) +info$html_updated3 <- getHTML() + + +test_that("Interactivity does not mess up tooltip titles", { + # Initially all titles are rendered + title_nodes1 <- + getNodeSet(info$html, '//g[@class="geom1_point_p"]//circle//title') + rendered_titles1 <- sapply(title_nodes1, xmlValue) + + expect_equal(length(rendered_titles1), length(CO2$Plant)) + expect_identical(sort(unique(rendered_titles1)), + sort(sapply(unique(CO2$Plant), as.character))) + + title_nodes2 <- + getNodeSet(info$html_updated1, '//g[@class="geom1_point_p"]//circle//title') + rendered_titles2 <- sapply(title_nodes2, xmlValue) + rendered_titles2_unique <- unique(rendered_titles2) + actual_titles2 <- c("Qc1", "Qc2", "Qc3", "Mc1", "Mc2", "Mc3") + + expect_equal(length(rendered_titles2), sum(CO2$Treatment == "chilled")) + expect_identical(sort(rendered_titles2_unique), sort(actual_titles2)) + + title_nodes3 <- + getNodeSet(info$html_updated2, '//g[@class="geom1_point_p"]//circle//title') + + expect_equal(length(title_nodes3), 0) + + title_nodes4 <- + getNodeSet(info$html_updated3, '//g[@class="geom1_point_p"]//circle//title') + rendered_titles4 <- sapply(title_nodes4, xmlValue) + rendered_titles4_unique <- unique(rendered_titles4) + actual_titles4 <- c("Qn1", "Qn2", "Qn3", "Mn1", "Mn2", "Mn3") + + expect_equal(length(rendered_titles4), sum(CO2$Treatment == "nonchilled")) + expect_identical(sort(rendered_titles4_unique), sort(actual_titles4)) +}) diff --git a/tests/testthat/test-shiny.R b/tests/testthat/test-shiny.R new file mode 100644 index 000000000..cb570556a --- /dev/null +++ b/tests/testthat/test-shiny.R @@ -0,0 +1,134 @@ +acontext("shiny") + +## We do not need if(on wercker or travis){skip shiny test} as of 10 +## Oct 2015, since we only run tests that match the TEST_SUITE env +## var, and test-shiny.R never matches. + +## shiny tests require navigating to different ports, so remember +## where we are and return when tests are done +old_address <- remDr$getCurrentUrl()[[1]] +remDr$setImplicitWaitTimeout(milliseconds = 30000) + +shiny_dir <- system.file("examples/shiny", package = "animint") +shiny_cmd <- "shiny::runApp(appDir=\"%s\", port=%d, launch.browser=FALSE)" +animint:::run_servr(port = 3147, directory = shiny_dir, code = shiny_cmd) +address <- sprintf("http://localhost:3147") + +test_that("animint plot renders in a shiny app", { + Sys.sleep(10) # give shiny a second to do it's thing + remDr$navigate(address) + Sys.sleep(10) + ## just check that svg is displayed + html <- getHTML() + circles <- getNodeSet(html, "//div[@id='animint']//circle") + expect_true(length(circles) >= 1) +}) + +shiny_dir <- system.file("examples/shiny-WorldBank", package = "animint") +shiny_cmd <- "shiny::runApp(appDir=\"%s\", port=%d, launch.browser=FALSE)" +animint:::run_servr(port = 3148, directory = shiny_dir, code = shiny_cmd) +address <- sprintf("http://localhost:3148") + +test_that("WorldBank renders in a shiny app", { + Sys.sleep(1) # give shiny a second to do it's thing + remDr$navigate(address) + Sys.sleep(20) + ## just check that svg is displayed + html <- getHTML() + circles <- getNodeSet(html, "//div[@id='animint']//circle") + expect_true(length(circles) >= 1) +}) + +getYear <- function(){ + node.set <- getNodeSet(getHTML(), '//g[@class="geom10_text_ts"]//text') + expect_equal(length(node.set), 1) + value <- xmlValue(node.set[[1]]) + sub("year = ", "", value) +} + +test_that("animation updates", { + old.year <- getYear() + Sys.sleep(5) #wait for two animation frames. + new.year <- getYear() + expect_true(old.year != new.year) +}) + +getTickLeft <- function(){ + remDr$executeScript(' +var node_list = document.querySelectorAll(".yaxis text"); +var left_array = []; +for(var i=0; i < node_list.length; i++){ + var rect = node_list[i].getBoundingClientRect(); + left_array[i] = rect["left"]; +} +return left_array; +')[[1]] +} + +getDivLeft <- function(){ + remDr$executeScript(' +return document.querySelector("#animint").getBoundingClientRect()["left"]; +')[[1]] +} + +test_that("animint fits in div", { + tick.left.vec <- getTickLeft() + div.left <- getDivLeft() + expect_true(all(div.left < tick.left.vec)) +}) + +getCountries <- function(){ + country.labels <- getNodeSet(getHTML(), '//g[@class="geom9_text_ts"]//text') + sort(sapply(country.labels, xmlValue)) +} + +test_that("clicking selects country", { + old.countries <- getCountries() + expect_identical(old.countries, c("United States", "Vietnam")) + clickID("Bahrain") + new.countries <- getCountries() + expect_identical(new.countries, c("Bahrain", "United States", "Vietnam")) +}) + +getFacets <- function(){ + facets <- getNodeSet(getHTML(), '//g[@class="topStrip"]//text') + sapply(facets, xmlValue) +} + +test_that("shiny changes axes", { + old.facets <- getFacets() + expect_identical(old.facets, c("fertility.rate", "Years")) + e <- remDr$findElement("class name", "selectize-input") + ## This click and sendKeys is just to make sure we have focus on the + ## first selectize element. + e$clickElement() + e$sendKeysToElement(list(key="backspace")) + e$clickElement() # hide menu + e$clickElement() # show menu + remDr$sendKeysToActiveElement(list(key="backspace")) + remDr$sendKeysToActiveElement(list("lite")) + remDr$sendKeysToActiveElement(list(key="enter")) + Sys.sleep(10) + new.facets <- getFacets() + expect_identical(new.facets, c("literacy", "Years")) +}) + +rmd_dir <- system.file("examples/rmarkdown", package = "animint") +rmd_cmd <- "rmarkdown::run(dir = \"%s\", shiny_args = list(port=%d, launch.browser=FALSE))" +animint:::run_servr(port = 3120, directory = rmd_dir, code = rmd_cmd) +address <- sprintf("http://localhost:3120") + +test_that("animint plot renders in an interactive document", { + Sys.sleep(10) # give shiny a second to do it's thing + remDr$navigate(address) + Sys.sleep(10) + e <- remDr$findElement("class name", "shiny-frame") + remDr$switchToFrame(e) + html <- getHTML() + circles <- getNodeSet(html, "//svg//circle") + expect_true(length(circles) >= 1) +}) + +## go back to non-shiny tests +remDr$navigate(old_address) + diff --git a/tests/testthat/test-tt-inter.R b/tests/testthat/test-tt-inter.R new file mode 100644 index 000000000..ae40f4e24 --- /dev/null +++ b/tests/testthat/test-tt-inter.R @@ -0,0 +1,72 @@ +acontext("tooltip-interactivity") +## !!! wercker has some problem with this test, so not using this !!! +data("WorldBank", package = "animint") +WorldBank1975 <- WorldBank[WorldBank$year == 1975, ] + +test_that("Interactivity does not mess up tooltip titles",{ + ## Take only first 3 chars of region names. Avoid non-alphanumerics + WorldBank1975$region <- tolower( + substring(as.character(WorldBank1975$region), 1, 3)) + + ex_plot <- ggplot() + + geom_point(aes(fertility.rate, life.expectancy, color = region, + tooltip = country, href = "https://github.com"), + data = WorldBank1975) + + viz <- list(ex = ex_plot) + info <- animint2HTML(viz) + + # Apply clickID with some time difference + apply_with_interval <- function(func, list, interval){ + for (elem in list){ + acontext(paste0("id - ", elem)) + Sys.sleep(interval) + func(elem) + } + } + # Hide some points first and check rendered titles + hide_these_first <- + c("plot_ex_region_variable_eas_label", + "plot_ex_region_variable_eur_label", + "plot_ex_region_variable_lat_label", + "plot_ex_region_variable_mid_label", + "plot_ex_region_variable_sub_label") + + b <- apply_with_interval(clickID, hide_these_first, 1) + + Sys.sleep(1) + info$html <- getHTML() + + displayed_regions <- WorldBank1975$region == "nor" | + WorldBank1975$region == "sou" + displayed_countries <- unique(WorldBank1975$country[displayed_regions]) + + title_nodes1 <- + getNodeSet(info$html, '//g[@class="geom1_point_ex"]//a//title') + rendered_titles1 <- sapply(title_nodes1, xmlValue) + expect_identical(sort(rendered_titles1), sort(displayed_countries)) + + # Hide all countries -> No titles + hide_these_second <- + c("plot_ex_region_variable_nor_label", + "plot_ex_region_variable_sou_label") + b <- apply_with_interval(clickID, hide_these_second, 1) + + Sys.sleep(2) + info$html <- getHTML() + + title_nodes2 <- + getNodeSet(info$html, '//g[@class="geom1_point_ex"]//a//title') + expect_equal(length(title_nodes2), 0) + + # Show previous points again and compare titles + b <- apply_with_interval(clickID, hide_these_second, 1) + + Sys.sleep(1) + info$html <- getHTML() + + title_nodes3 <- + getNodeSet(info$html, '//g[@class="geom1_point_ex"]//a//title') + rendered_titles3 <- sapply(title_nodes3, xmlValue) + expect_identical(sort(rendered_titles3), sort(displayed_countries)) +}) From 9b02ba9c432f18992384ca99907618b798af75fd Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sat, 27 May 2017 18:15:20 +0530 Subject: [PATCH 28/42] modify .gitignore for ANIMINT_TEST_FOO and pids.txt --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 157909daf..684a1a58c 100644 --- a/.gitignore +++ b/.gitignore @@ -6,4 +6,5 @@ *.httr-oauth *animint-htmltest* *intreg-selection* -*ANIMINT-TEST-FOO +*ANIMINT_TEST_FOO +*pids.txt From dc221baf5dc867ce8b2c3014cee304d28d27b092 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sat, 27 May 2017 22:59:46 +0530 Subject: [PATCH 29/42] remove geom.count from meta. Note: something weird going on with knit_print --- NAMESPACE | 2 +- R/animint.R | 12 +++++++----- R/animintHelpers.R | 2 -- man/knit_print.animint.Rd | 2 +- man/saveLayer.Rd | 5 ++++- 5 files changed, 13 insertions(+), 10 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 015424147..7c8fffe27 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,5 +1,6 @@ # Generated by roxygen2: do not edit by hand +S3method(knit_print,animint) export(animint2dir) export(animint2gist) export(animintOutput) @@ -8,7 +9,6 @@ export(geom_widerect) export(getLegendList) export(gg2animint) export(is.rgb) -export(knit_print.animint) export(make_bar) export(make_tallrect) export(make_tallrect_or_widerect) diff --git a/R/animint.R b/R/animint.R index e2df3b33a..2104eac8f 100644 --- a/R/animint.R +++ b/R/animint.R @@ -175,9 +175,11 @@ parsePlot <- function(meta){ #' @param l one layer of the ggplot object. #' @param d one layer of calculated data from ggplot2::ggplot_build(p). #' @param meta environment of meta-data. +#' @param geom_num the number of geom in the plot. Each geom gets an increasing +#' ID number starting from 1 #' @return list representing a layer, with corresponding aesthetics, ranges, and groups. #' @export -saveLayer <- function(l, d, meta){ +saveLayer <- function(l, d, meta, geom_num){ # carson's approach to getting layer types ggtype <- function (x, y = "geom") { sub(y, "", tolower(class(x[[y]])[1])) @@ -186,14 +188,13 @@ saveLayer <- function(l, d, meta){ g <- list(geom=ggtype(l)) g$classed <- sprintf("geom%d_%s_%s", - meta$geom.count, g$geom, meta$plot.name) + geom_num, g$geom, meta$plot.name) ## For each geom, save the nextgeom to preserve drawing order. if(is.character(meta$prev.class)){ meta$geoms[[meta$prev.class]]$nextgeom <- g$classed } - meta$geom.count <- meta$geom.count + 1 ## needed for when group, etc. is an expression: g$aes <- sapply(l$mapping, function(k) as.character(as.expression(k))) @@ -962,6 +963,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## After going through all of the meta-data in all of the ggplots, ## now we have enough info to save the TSV file database. + geom_num <- 0 for(p.name in names(ggplot.list)){ ggplot.info <- ggplot.list[[p.name]] meta$prev.class <- NULL # first geom of any plot should not be next. @@ -997,8 +999,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } } - - g <- saveLayer(L, df, meta) + geom_num <- geom_num + 1 + g <- saveLayer(L, df, meta, geom_num) ## Every plot has a list of geom names. meta$plots[[p.name]]$geoms <- c( diff --git a/R/animintHelpers.R b/R/animintHelpers.R index ed03ff6ab..b656adeb4 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -310,8 +310,6 @@ newEnvironment <- function(){ meta$plots <- list() meta$geoms <- list() meta$selectors <- list() - meta$geom.count <- 1 - return(meta) } diff --git a/man/knit_print.animint.Rd b/man/knit_print.animint.Rd index 63edcc287..04ca01f7d 100644 --- a/man/knit_print.animint.Rd +++ b/man/knit_print.animint.Rd @@ -4,7 +4,7 @@ \alias{knit_print.animint} \title{Insert an interactive animation into an R markdown document using a customized print method.} \usage{ -knit_print.animint(x, options, ...) +\method{knit_print}{animint}(x, options, ...) } \arguments{ \item{x}{named list of ggplots and option lists to pass to \code{animint2dir}.} diff --git a/man/saveLayer.Rd b/man/saveLayer.Rd index a8b168eab..878553aac 100644 --- a/man/saveLayer.Rd +++ b/man/saveLayer.Rd @@ -4,7 +4,7 @@ \alias{saveLayer} \title{Save a layer to disk, save and return meta-data.} \usage{ -saveLayer(l, d, meta) +saveLayer(l, d, meta, geom_num) } \arguments{ \item{l}{one layer of the ggplot object.} @@ -12,6 +12,9 @@ saveLayer(l, d, meta) \item{d}{one layer of calculated data from ggplot2::ggplot_build(p).} \item{meta}{environment of meta-data.} + +\item{geom_num}{the number of geom in the plot. Each geom gets an increasing +ID number starting from 1} } \value{ list representing a layer, with corresponding aesthetics, ranges, and groups. From 01e93cfe10690a5e829dd086aa32d2c3f344c8b5 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sun, 28 May 2017 12:21:06 +0530 Subject: [PATCH 30/42] pass plots and layers separately in parsePlot and saveLayer --- R/animint.R | 87 ++++++++++++++++++++++++----------------------------- 1 file changed, 39 insertions(+), 48 deletions(-) diff --git a/R/animint.R b/R/animint.R index 2104eac8f..3996ca366 100644 --- a/R/animint.R +++ b/R/animint.R @@ -3,22 +3,22 @@ #' @return nothing, info is stored in meta. #' @export #' @import ggplot2 plyr -parsePlot <- function(meta){ +parsePlot <- function(meta, plot, plot.name){ ## adding data and mapping to each layer from base plot, if necessary - for(layer.i in seq_along(meta$plot$layers)) { + for(layer.i in seq_along(plot$layers)) { ## if data is not specified, get it from plot - if(length(meta$plot$layers[[layer.i]]$data) == 0){ - meta$plot$layers[[layer.i]]$data <- meta$plot$data + if(length(plot$layers[[layer.i]]$data) == 0){ + plot$layers[[layer.i]]$data <- plot$data } ## if mapping is not specified, get it from plot - if(is.null(meta$plot$layers[[layer.i]]$mapping)){ - meta$plot$layers[[layer.i]]$mapping <- meta$plot$mapping + if(is.null(plot$layers[[layer.i]]$mapping)){ + plot$layers[[layer.i]]$mapping <- plot$mapping } } - meta$built <- ggplot2::ggplot_build(meta$plot) + built <- ggplot2::ggplot_build(plot) plot.meta <- list() ## Export axis specification as a combination of breaks and @@ -26,7 +26,7 @@ parsePlot <- function(meta){ ## be passed into d3 on the x axis scale instead of on the ## grid 0-1 scale). This allows transformations to be used ## out of the box, with no additional d3 coding. - theme.pars <- ggplot2:::plot_theme(meta$plot) + theme.pars <- ggplot2:::plot_theme(plot) ## Interpret panel.margin as the number of lines between facets ## (ignoring whatever grid::unit such as cm that was specified). @@ -36,14 +36,14 @@ parsePlot <- function(meta){ ## No legend if theme(legend.postion="none"). plot.meta$legend <- if(theme.pars$legend.position != "none"){ - getLegendList(meta$built) + getLegendList(built) } ## scan for legends in each layer. - for(layer.i in seq_along(meta$plot$layers)){ - ##cat(sprintf("%4d / %4d layers\n", layer.i, length(meta$plot$layers))) + for(layer.i in seq_along(plot$layers)){ + ##cat(sprintf("%4d / %4d layers\n", layer.i, length(plot$layers))) ## This is the layer from the original ggplot object. - L <- meta$plot$layers[[layer.i]] + L <- plot$layers[[layer.i]] ## If any legends are specified, add showSelected aesthetic L <- addShowSelectedForLegend(meta, plot.meta$legend, L) }#layer.i @@ -54,15 +54,15 @@ parsePlot <- function(meta){ ## we need to specify the variable corresponding to each legend. ## To do this, we need to have the legend. ## And to have the legend, I think that we need to use ggplot_build - meta$built <- ggplot2::ggplot_build(meta$plot) + built <- ggplot2::ggplot_build(plot) ## TODO: implement a compiler that does not call ggplot_build at ## all, and instead does all of the relevant computations in animint ## code. ## 'strips' are really titles for the different facet panels - plot.meta$strips <- with(meta$built, getStrips(plot$facet, panel)) + plot.meta$strips <- with(built, getStrips(plot$facet, panel)) ## the layout tells us how to subset and where to plot on the JS side - plot.meta$layout <- with(meta$built, flag_axis(plot$facet, panel$layout)) - plot.meta$layout <- with(meta$built, train_layout( + plot.meta$layout <- with(built, flag_axis(plot$facet, panel$layout)) + plot.meta$layout <- with(built, train_layout( plot$facet, plot$coordinates, plot.meta$layout, panel$ranges)) # saving background info @@ -79,20 +79,20 @@ parsePlot <- function(meta){ ## Flip labels if coords are flipped - transform does not take care ## of this. Do this BEFORE checking if it is blank or not, so that ## individual axes can be hidden appropriately, e.g. #1. - if("CoordFlip"%in%attr(meta$plot$coordinates, "class")){ - temp <- meta$plot$labels$x - meta$plot$labels$x <- meta$plot$labels$y - meta$plot$labels$y <- temp + if("CoordFlip"%in%attr(plot$coordinates, "class")){ + temp <- plot$labels$x + plot$labels$x <- plot$labels$y + plot$labels$y <- temp } is.blank <- function(el.name){ - x <- ggplot2::calc_element(el.name, meta$plot$theme) + x <- ggplot2::calc_element(el.name, plot$theme) "element_blank"%in%attr(x,"class") } # Instead of an "axis" JSON object for each plot, # allow for "axis1", "axis2", etc. where # "axis1" corresponds to the 1st PANEL - ranges <- meta$built$panel$ranges + ranges <- built$panel$ranges n.axis <- length(ranges) axes <- setNames(vector("list", n.axis), paste0("axis", seq_len(n.axis))) @@ -105,12 +105,12 @@ parsePlot <- function(meta){ plot.meta[[s("%stitle")]] <- if(is.blank(s("axis.title.%s"))){ "" } else { - scale.i <- which(meta$plot$scales$find(xy)) + scale.i <- which(plot$scales$find(xy)) lab.or.null <- if(length(scale.i) == 1){ - meta$plot$scales$scales[[scale.i]]$name + plot$scales$scales[[scale.i]]$name } if(is.null(unlist(lab.or.null))){ - meta$plot$labels[[xy]] + plot$labels[[xy]] }else{ lab.or.null } @@ -155,19 +155,19 @@ parsePlot <- function(meta){ # grab plot title if present plot.meta$title <- getPlotTitle(theme.pars$plot.tiltle, - meta$plot$labels$title) + plot$labels$title) ## Set plot width and height from animint.* options if they are ## present. - options_list <- getWidthAndHeight(meta$plot$theme) - options_list <- setUpdateAxes(meta$plot$theme, options_list) + options_list <- getWidthAndHeight(plot$theme) + options_list <- setUpdateAxes(plot$theme, options_list) plot.meta$options <- options_list - meta$plots[[meta$plot.name]] <- plot.meta + meta$plots[[plot.name]] <- plot.meta list( - ggplot=meta$plot, - built=meta$built) + ggplot=plot, + built=built) } @@ -179,16 +179,16 @@ parsePlot <- function(meta){ #' ID number starting from 1 #' @return list representing a layer, with corresponding aesthetics, ranges, and groups. #' @export -saveLayer <- function(l, d, meta, geom_num){ +saveLayer <- function(l, d, meta, geom_num, p.name, ggplot, built){ # carson's approach to getting layer types ggtype <- function (x, y = "geom") { sub(y, "", tolower(class(x[[y]])[1])) } - ranges <- meta$built$panel$ranges + ranges <- built$panel$ranges g <- list(geom=ggtype(l)) g$classed <- sprintf("geom%d_%s_%s", - geom_num, g$geom, meta$plot.name) + geom_num, g$geom, p.name) ## For each geom, save the nextgeom to preserve drawing order. if(is.character(meta$prev.class)){ @@ -504,7 +504,7 @@ saveLayer <- function(l, d, meta, geom_num){ ## doing a piecewise linear interpolation of the shape. ## Flip axes in case of coord_flip - if(inherits(meta$plot$coordinates, "CoordFlip")){ + if(inherits(ggplot$coordinates, "CoordFlip")){ names(g.data) <- switch_axes(names(g.data)) } @@ -669,7 +669,7 @@ saveLayer <- function(l, d, meta, geom_num){ } # If there is only one PANEL, we don't need it anymore. - plot.has.panels <- nrow(meta$built$panel$layout) > 1 + plot.has.panels <- nrow(built$panel$layout) > 1 g$PANEL <- unique(g.data[["PANEL"]]) geom.has.one.panel <- length(g$PANEL) == 1 if(geom.has.one.panel && (!plot.has.panels)) { @@ -951,9 +951,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), checkPlotForAnimintExtensions(p, list.name) ## If plot is correct, save to meta for further processing - meta$plot <- p - meta$plot.name <- list.name - ggplot.list[[list.name]] <- parsePlot(meta) # calls ggplot_build. + ggplot.list[[list.name]] <- parsePlot(meta, p, list.name) # calls ggplot_build. }else if(is.list(p)){ ## for options. meta[[list.name]] <- p }else{ @@ -975,14 +973,6 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## layer.i, length(ggplot.info$built$data), ## p.name)) - ## This is a total hack, we should clean up the internals - ## (parsePlot, saveLayer) so that they no longer rely on this - ## meta object which makes it super confusing to know which - ## functions need which data. - meta$plot.name <- p.name - meta$plot <- ggplot.info$ggplot - meta$built <- ggplot.info$built - ## Data now contains columns with fill, alpha, colour etc. ## Remove from data if they have a single unique value and ## are NOT used in mapping to reduce tsv file size @@ -1000,7 +990,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } geom_num <- geom_num + 1 - g <- saveLayer(L, df, meta, geom_num) + g <- saveLayer(L, df, meta, geom_num, + p.name, ggplot.info$ggplot, ggplot.info$built) ## Every plot has a list of geom names. meta$plots[[p.name]]$geoms <- c( From 4e2eda44b5e126fdd4b9bcb70e51d75f0789a5d7 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sun, 28 May 2017 13:58:14 +0530 Subject: [PATCH 31/42] separate storeLayer from saveLayer. Note: fixed knit_print issue --- NAMESPACE | 2 +- R/animint.R | 183 ++++++++++-------- R/knitr.R | 2 +- ...rint.animint.Rd => knit_print.animint2.Rd} | 6 +- man/parsePlot.Rd | 2 +- man/saveLayer.Rd | 2 +- 6 files changed, 106 insertions(+), 91 deletions(-) rename man/{knit_print.animint.Rd => knit_print.animint2.Rd} (85%) diff --git a/NAMESPACE b/NAMESPACE index 7c8fffe27..b780c989e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,6 +1,5 @@ # Generated by roxygen2: do not edit by hand -S3method(knit_print,animint) export(animint2dir) export(animint2gist) export(animintOutput) @@ -9,6 +8,7 @@ export(geom_widerect) export(getLegendList) export(gg2animint) export(is.rgb) +export(knit_print.animint2) export(make_bar) export(make_tallrect) export(make_tallrect_or_widerect) diff --git a/R/animint.R b/R/animint.R index 3996ca366..4bb7f663f 100644 --- a/R/animint.R +++ b/R/animint.R @@ -171,6 +171,18 @@ parsePlot <- function(meta, plot, plot.name){ } +storeLayer <- function(meta, g, g.data.varied){ + ## Save each variable chunk to a separate tsv file. + meta$chunk.i <- 1L + meta$g <- g + g$chunks <- saveChunks(g.data.varied, meta) + g$total <- length(unlist(g$chunks)) + + ## Finally save to the master geom list. + meta$geoms[[g$classed]] <- g + g +} + #' Save a layer to disk, save and return meta-data. #' @param l one layer of the ggplot object. #' @param d one layer of calculated data from ggplot2::ggplot_build(p). @@ -752,16 +764,7 @@ saveLayer <- function(l, d, meta, geom_num, p.name, ggplot, built){ data.or.null$varied } - ## Save each variable chunk to a separate tsv file. - meta$chunk.i <- 1L - meta$g <- g - g$chunks <- saveChunks(g.data.varied, meta) - g$total <- length(unlist(g$chunks)) - - ## Finally save to the master geom list. - meta$geoms[[g$classed]] <- g - - g + list(g=g, g.data.varied=g.data.varied) } @@ -962,6 +965,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## After going through all of the meta-data in all of the ggplots, ## now we have enough info to save the TSV file database. geom_num <- 0 + g.list <- list() for(p.name in names(ggplot.list)){ ggplot.info <- ggplot.list[[p.name]] meta$prev.class <- NULL # first geom of any plot should not be next. @@ -990,12 +994,12 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } geom_num <- geom_num + 1 - g <- saveLayer(L, df, meta, geom_num, + gl <- saveLayer(L, df, meta, geom_num, p.name, ggplot.info$ggplot, ggplot.info$built) - ## Every plot has a list of geom names. - meta$plots[[p.name]]$geoms <- c( - meta$plots[[p.name]]$geoms, list(g$classed)) + ## Save to a list before saving to tsv + ## Helps during axis updates and Inf values + g.list[[p.name]][[gl$g$classed]] <- gl }#layer.i } @@ -1040,10 +1044,6 @@ animint2dir <- function(plot.list, out.dir = tempfile(), meta$selectors[[selector.name]]$update <- as.list(unique(unlist(lapply(values.update, "[[", "update")))) } - - ## Now that selectors are all defined, go back through geoms to - ## check if there are any warnings to issue. - issueSelectorWarnings(meta$geoms, meta$selector.aes, meta$duration) ## For a static data viz with no interactive aes, no need to check ## for trivial showSelected variables with only 1 level. @@ -1056,63 +1056,6 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Set plot sizes. setPlotSizes(meta) - ## These geoms need to be updated when the time.var is animated, so - ## let's make a list of all possible values to cycle through, from - ## all the values used in those geoms. - if("time" %in% ls(meta)){ - meta$selectors[[meta$time$variable]]$type <- "single" - anim.values <- meta$timeValues - if(length(meta$timeValues)==0){ - stop("no interactive aes for time variable ", meta$time$variable) - } - anim.not.null <- anim.values[!sapply(anim.values, is.null)] - time.classes <- sapply(anim.not.null, function(x) class(x)[1]) - time.class <- time.classes[[1]] - if(any(time.class != time.classes)){ - print(time.classes) - stop("time variables must all have the same class") - } - meta$time$sequence <- if(time.class=="POSIXct"){ - orderTime <- function(format){ - values <- unlist(sapply(anim.not.null, strftime, format)) - sort(unique(as.character(values))) - } - hms <- orderTime("%H:%M:%S") - f <- if(length(hms) == 1){ - "%Y-%m-%d" - }else{ - "%Y-%m-%d %H:%M:%S" - } - orderTime(f) - }else if(time.class=="factor"){ - levs <- levels(anim.not.null[[1]]) - if(any(sapply(anim.not.null, function(f)levels(f)!=levs))){ - print(sapply(anim.not.null, levels)) - stop("all time factors must have same levels") - } - levs - }else{ #character, numeric, integer, ... what else? - as.character(sort(unique(unlist(anim.not.null)))) - } - meta$selectors[[time.var]]$selected <- meta$time$sequence[[1]] - } - - ## The first selection: - for(selector.name in names(meta$first)){ - first <- as.character(meta$first[[selector.name]]) - if(selector.name %in% names(meta$selectors)){ - s.type <- meta$selectors[[selector.name]]$type - if(s.type == "single"){ - stopifnot(length(first) == 1) - } - meta$selectors[[selector.name]]$selected <- first - }else{ - print(list(selectors=names(meta$selectors), - missing.first=selector.name)) - stop("missing first selector variable") - } - } - ## Compute domains of different subsets, to be used by update_scales ## in the renderer compute_domains <- function(built_data, axes, geom_name, @@ -1266,25 +1209,25 @@ animint2dir <- function(plot.list, out.dir = tempfile(), for(p.name in names(ggplot.list)){ axes_to_update <- meta$plots[[p.name]]$options$update_axes if(!is.null(axes_to_update)){ - p_geoms <- meta$plots[[p.name]]$geoms for (axis in axes_to_update){ subset_domains <- list() # Determine if every panel needs a different domain or not # We conclude here if we want to split the data by PANEL # for the axes updates. Else every panel uses the same domain - panels <- meta$plots[[p.name]]$layout$PANEL + panels <- ggplot.list[[p.name]]$built$panel$layout$PANEL axes_drawn <- - meta$plots[[p.name]]$layout[[paste0("AXIS_", toupper(axis))]] + ggplot.list[[p.name]]$built$panel$layout[[paste0("AXIS_", + toupper(axis))]] panels_used <- panels[axes_drawn] split_by_panel <- all(panels == panels_used) - for(num in seq_along(p_geoms)){ + for(num in seq_along(ggplot.list[[p.name]]$built$plot$layers)){ # If there is a geom where the axes updates have non numeric values, # we stop and throw an informative warning # It does not make sense to have axes updates for non numeric values - aesthetic_names <- names(meta$geoms[[ p_geoms[[num]] ]]$aes) + aesthetic_names <- names(g.list[[p.name]][[num]]$g$aes) axis_col_name <- aesthetic_names[grepl(axis, aesthetic_names)] - axis_col <- meta$geoms[[ p_geoms[[num]] ]]$aes[[ axis_col_name[[1]] ]] + axis_col <- g.list[[p.name]][[num]]$g$aes[[ axis_col_name[[1]] ]] axis_is_numeric <- is.numeric(ggplot.list[[p.name]]$built$plot$layers[[num]]$data[[axis_col]]) if(!axis_is_numeric){ stop(paste0("'update_axes' specified for '", toupper(axis), @@ -1296,11 +1239,11 @@ animint2dir <- function(plot.list, out.dir = tempfile(), # handle cases for showSelected: showSelectedlegendfill, # showSelectedlegendcolour etc. choose_ss <- grepl("^showSelected", aesthetic_names) - ss_selectors <- meta$geoms[[ p_geoms[[num]] ]]$aes[choose_ss] + ss_selectors <- g.list[[p.name]][[num]]$g$aes[choose_ss] # Do not calculate domains for multiple selectors remove_ss <- c() for(j in seq_along(ss_selectors)){ - if(meta$selectors[[ss_selectors[j]]]$type != "single"){ + if(meta$selectors[[ ss_selectors[[j]] ]]$type != "single"){ remove_ss <- c(remove_ss, ss_selectors[j]) } } @@ -1315,7 +1258,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), if(length(ss_selectors) > 0){ subset_domains[num] <- compute_domains( ggplot.list[[p.name]]$built$data[[num]], - axis, strsplit(p_geoms[[num]], "_")[[1]][[2]], + axis, strsplit(names(g.list[[p.name]])[[num]], "_")[[1]][[2]], names(sort(ss_selectors)), split_by_panel) } } @@ -1351,6 +1294,78 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } + ## Finally save all the layers + for(p.name in names(ggplot.list)){ + for(g1 in seq_along(g.list[[p.name]])){ + g <- storeLayer(meta, g.list[[p.name]][[g1]]$g, + g.list[[p.name]][[g1]]$g.data.varied) + ## Every plot has a list of geom names. + meta$plots[[p.name]]$geoms <- c( + meta$plots[[p.name]]$geoms, list(g$classed)) + }#layer.i + } + + ## Now that selectors are all defined, go back through geoms to + ## check if there are any warnings to issue. + issueSelectorWarnings(meta$geoms, meta$selector.aes, meta$duration) + + ## These geoms need to be updated when the time.var is animated, so + ## let's make a list of all possible values to cycle through, from + ## all the values used in those geoms. + if("time" %in% ls(meta)){ + meta$selectors[[meta$time$variable]]$type <- "single" + anim.values <- meta$timeValues + if(length(meta$timeValues)==0){ + stop("no interactive aes for time variable ", meta$time$variable) + } + anim.not.null <- anim.values[!sapply(anim.values, is.null)] + time.classes <- sapply(anim.not.null, function(x) class(x)[1]) + time.class <- time.classes[[1]] + if(any(time.class != time.classes)){ + print(time.classes) + stop("time variables must all have the same class") + } + meta$time$sequence <- if(time.class=="POSIXct"){ + orderTime <- function(format){ + values <- unlist(sapply(anim.not.null, strftime, format)) + sort(unique(as.character(values))) + } + hms <- orderTime("%H:%M:%S") + f <- if(length(hms) == 1){ + "%Y-%m-%d" + }else{ + "%Y-%m-%d %H:%M:%S" + } + orderTime(f) + }else if(time.class=="factor"){ + levs <- levels(anim.not.null[[1]]) + if(any(sapply(anim.not.null, function(f)levels(f)!=levs))){ + print(sapply(anim.not.null, levels)) + stop("all time factors must have same levels") + } + levs + }else{ #character, numeric, integer, ... what else? + as.character(sort(unique(unlist(anim.not.null)))) + } + meta$selectors[[time.var]]$selected <- meta$time$sequence[[1]] + } + + ## The first selection: + for(selector.name in names(meta$first)){ + first <- as.character(meta$first[[selector.name]]) + if(selector.name %in% names(meta$selectors)){ + s.type <- meta$selectors[[selector.name]]$type + if(s.type == "single"){ + stopifnot(length(first) == 1) + } + meta$selectors[[selector.name]]$selected <- first + }else{ + print(list(selectors=names(meta$selectors), + missing.first=selector.name)) + stop("missing first selector variable") + } + } + ## Finally, copy html/js/json files to out.dir. src.dir <- system.file("htmljs",package="animint2") to.copy <- Sys.glob(file.path(src.dir, "*")) diff --git a/R/knitr.R b/R/knitr.R index da5e31e2b..52fdfa7bd 100644 --- a/R/knitr.R +++ b/R/knitr.R @@ -5,7 +5,7 @@ #' @references https://github.com/yihui/knitr/blob/master/vignettes/knit_print.Rmd #' @author Carson Sievert #' @export -knit_print.animint <- function(x, options, ...) { +knit_print.animint2 <- function(x, options, ...) { if (!requireNamespace("knitr")) warning("Please install.packages('knitr')") # This function should be evaluated in knitr's output directory output.dir <- knitr::opts_knit$get()[["output.dir"]] diff --git a/man/knit_print.animint.Rd b/man/knit_print.animint2.Rd similarity index 85% rename from man/knit_print.animint.Rd rename to man/knit_print.animint2.Rd index 04ca01f7d..6290cb26f 100644 --- a/man/knit_print.animint.Rd +++ b/man/knit_print.animint2.Rd @@ -1,10 +1,10 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/knitr.R -\name{knit_print.animint} -\alias{knit_print.animint} +\name{knit_print.animint2} +\alias{knit_print.animint2} \title{Insert an interactive animation into an R markdown document using a customized print method.} \usage{ -\method{knit_print}{animint}(x, options, ...) +knit_print.animint2(x, options, ...) } \arguments{ \item{x}{named list of ggplots and option lists to pass to \code{animint2dir}.} diff --git a/man/parsePlot.Rd b/man/parsePlot.Rd index b66354f09..b0086ab9f 100644 --- a/man/parsePlot.Rd +++ b/man/parsePlot.Rd @@ -4,7 +4,7 @@ \alias{parsePlot} \title{Convert a ggplot to a list.} \usage{ -parsePlot(meta) +parsePlot(meta, plot, plot.name) } \arguments{ \item{meta}{environment with previously calculated plot data, and a new plot to parse, already stored in plot and plot.name.} diff --git a/man/saveLayer.Rd b/man/saveLayer.Rd index 878553aac..cb854e8cc 100644 --- a/man/saveLayer.Rd +++ b/man/saveLayer.Rd @@ -4,7 +4,7 @@ \alias{saveLayer} \title{Save a layer to disk, save and return meta-data.} \usage{ -saveLayer(l, d, meta, geom_num) +saveLayer(l, d, meta, geom_num, p.name, ggplot, built) } \arguments{ \item{l}{one layer of the ggplot object.} From 3296518b2a54b94475936da4ba6ddd16d2664858 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sun, 28 May 2017 18:36:57 +0530 Subject: [PATCH 32/42] get layer names separately -> getLayerName --- R/animint.R | 21 +++++++++------------ R/animintHelpers.R | 15 +++++++++++++++ man/getLayerName.Rd | 21 +++++++++++++++++++++ man/saveLayer.Rd | 2 +- 4 files changed, 46 insertions(+), 13 deletions(-) create mode 100644 man/getLayerName.Rd diff --git a/R/animint.R b/R/animint.R index 4bb7f663f..e26d6dee3 100644 --- a/R/animint.R +++ b/R/animint.R @@ -191,17 +191,13 @@ storeLayer <- function(meta, g, g.data.varied){ #' ID number starting from 1 #' @return list representing a layer, with corresponding aesthetics, ranges, and groups. #' @export -saveLayer <- function(l, d, meta, geom_num, p.name, ggplot, built){ - # carson's approach to getting layer types - ggtype <- function (x, y = "geom") { - sub(y, "", tolower(class(x[[y]])[1])) - } +saveLayer <- function(l, d, meta, layer_name, ggplot, built){ + # Set geom name and layer name + g <- list(geom=strsplit(layer_name, "_")[[1]][2]) + g$classed <- layer_name + ranges <- built$panel$ranges - g <- list(geom=ggtype(l)) - g$classed <- - sprintf("geom%d_%s_%s", - geom_num, g$geom, p.name) - + ## For each geom, save the nextgeom to preserve drawing order. if(is.character(meta$prev.class)){ meta$geoms[[meta$prev.class]]$nextgeom <- g$classed @@ -994,8 +990,9 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } geom_num <- geom_num + 1 - gl <- saveLayer(L, df, meta, geom_num, - p.name, ggplot.info$ggplot, ggplot.info$built) + layer_name <- getLayerName(L, geom_num, p.name) + gl <- saveLayer(L, df, meta, layer_name, + ggplot.info$ggplot, ggplot.info$built) ## Save to a list before saving to tsv ## Helps during axis updates and Inf values diff --git a/R/animintHelpers.R b/R/animintHelpers.R index b656adeb4..f1efac1f2 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -414,6 +414,21 @@ issueSelectorWarnings <- function(geoms, selector.aes, duration){ return(NULL) } +#' Gives a unique name to each layer in \code{saveLayer} +#' @param L layer in saveLayer to be named +#' @param geom_num the number of the layer to be saved +#' @param p.name the name of the plot to which the layer belongs +#' @return a unique name for the layer +getLayerName <- function(L, geom_num, p.name){ + # carson's approach to getting layer types + ggtype <- function (x, y = "geom") { + sub(y, "", tolower(class(x[[y]])[1])) + } + layer_name <- sprintf("geom%d_%s_%s", + geom_num, ggtype(L), p.name) + layer_name +} + #' Issue warnings for non interactive plots where there is only one #' showSelected value diff --git a/man/getLayerName.Rd b/man/getLayerName.Rd new file mode 100644 index 000000000..af3a57dcd --- /dev/null +++ b/man/getLayerName.Rd @@ -0,0 +1,21 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/animintHelpers.R +\name{getLayerName} +\alias{getLayerName} +\title{Gives a unique name to each layer in \code{saveLayer}} +\usage{ +getLayerName(L, geom_num, p.name) +} +\arguments{ +\item{L}{layer in saveLayer to be named} + +\item{geom_num}{the number of the layer to be saved} + +\item{p.name}{the name of the plot to which the layer belongs} +} +\value{ +a unique name for the layer +} +\description{ +Gives a unique name to each layer in \code{saveLayer} +} diff --git a/man/saveLayer.Rd b/man/saveLayer.Rd index cb854e8cc..fe69ef7ef 100644 --- a/man/saveLayer.Rd +++ b/man/saveLayer.Rd @@ -4,7 +4,7 @@ \alias{saveLayer} \title{Save a layer to disk, save and return meta-data.} \usage{ -saveLayer(l, d, meta, geom_num, p.name, ggplot, built) +saveLayer(l, d, meta, layer_name, ggplot, built) } \arguments{ \item{l}{one layer of the ggplot object.} From a8e0a2de61ea0a59ad2104647b2b2417ce3fe238 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 30 May 2017 03:57:19 +0530 Subject: [PATCH 33/42] forgot built data in get_grid --- R/animint.R | 4 ++-- R/animintHelpers.R | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/R/animint.R b/R/animint.R index e26d6dee3..cc94fd34d 100644 --- a/R/animint.R +++ b/R/animint.R @@ -71,10 +71,10 @@ parsePlot <- function(meta, plot, plot.name){ # extract major grid lines plot.meta$grid_major <- get_grid(theme.pars$panel.grid.major, theme.pars, - plot.meta, meta) + plot.meta, meta, built) # extract minor grid lines plot.meta$grid_minor <- get_grid(theme.pars$panel.grid.minor, theme.pars, - plot.meta, meta, major = F) + plot.meta, meta, built, major = F) ## Flip labels if coords are flipped - transform does not take care ## of this. Do this BEFORE checking if it is blank or not, so that diff --git a/R/animintHelpers.R b/R/animintHelpers.R index f1efac1f2..bbef87c23 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -84,7 +84,7 @@ get_bg <- function(pars, theme.pars) { ### function to extract grid info -get_grid <- function(pars, theme.pars, plot.meta, meta, major = T) { +get_grid <- function(pars, theme.pars, plot.meta, meta, built, major = T) { # if pars is not an empty list - occurs when using element_blank() if(length(pars) > 0) { @@ -107,11 +107,11 @@ get_grid <- function(pars, theme.pars, plot.meta, meta, major = T) { ## x and y locations if(major) { - pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.major_source) - pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.major_source) + pars$loc$x <- as.list(built$panel$ranges[[1]]$x.major_source) + pars$loc$y <- as.list(built$panel$ranges[[1]]$y.major_source) } else { - pars$loc$x <- as.list(meta$built$panel$ranges[[1]]$x.minor_source) - pars$loc$y <- as.list(meta$built$panel$ranges[[1]]$y.minor_source) + pars$loc$x <- as.list(built$panel$ranges[[1]]$x.minor_source) + pars$loc$y <- as.list(built$panel$ranges[[1]]$y.minor_source) ## remove minor lines when major lines are already drawn pars$loc$x <- pars$loc$x[ !(pars$loc$x %in% plot.meta$grid_major$loc$x) From af8f35af779f785041748fbe661c931b02f7372e Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 30 May 2017 04:38:33 +0530 Subject: [PATCH 34/42] remove gg2animint --- NAMESPACE | 1 - R/animint.R | 11 ----------- man/gg2animint.Rd | 20 -------------------- 3 files changed, 32 deletions(-) delete mode 100644 man/gg2animint.Rd diff --git a/NAMESPACE b/NAMESPACE index b780c989e..feca1dd0a 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -6,7 +6,6 @@ export(animintOutput) export(geom_tallrect) export(geom_widerect) export(getLegendList) -export(gg2animint) export(is.rgb) export(knit_print.animint2) export(make_bar) diff --git a/R/animint.R b/R/animint.R index cc94fd34d..cce30fc96 100644 --- a/R/animint.R +++ b/R/animint.R @@ -815,17 +815,6 @@ selector.aes <- function(a.list){ } -##' Deprecated alias for animint2dir. -##' @title animint2dir -##' @param ... passed to animint2dir -##' @return same as animint2dir -##' @author Toby Dylan Hocking -##' @export -gg2animint <- function(...){ - warning("gg2animint is deprecated, use animint2dir instead") - animint2dir(...) -} - #' Compile and render an animint in a local directory #' #' An animint is a list of ggplots and options that defines diff --git a/man/gg2animint.Rd b/man/gg2animint.Rd deleted file mode 100644 index 43921f2ec..000000000 --- a/man/gg2animint.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R -\name{gg2animint} -\alias{gg2animint} -\title{animint2dir} -\usage{ -gg2animint(...) -} -\arguments{ -\item{...}{passed to animint2dir} -} -\value{ -same as animint2dir -} -\description{ -Deprecated alias for animint2dir. -} -\author{ -Toby Dylan Hocking -} From fcf076398fdb1d33f288756e14088de4bc510ddb Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 30 May 2017 19:36:46 +0530 Subject: [PATCH 35/42] separate passing of plot info from meta --- R/animint.R | 35 +++++++++++++++++++---------------- R/animintHelpers.R | 10 +++++----- 2 files changed, 24 insertions(+), 21 deletions(-) diff --git a/R/animint.R b/R/animint.R index cce30fc96..d9022bf94 100644 --- a/R/animint.R +++ b/R/animint.R @@ -162,10 +162,9 @@ parsePlot <- function(meta, plot, plot.name){ options_list <- getWidthAndHeight(plot$theme) options_list <- setUpdateAxes(plot$theme, options_list) plot.meta$options <- options_list - - meta$plots[[plot.name]] <- plot.meta list( + plot.info = plot.meta, ggplot=plot, built=built) } @@ -931,6 +930,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Extract essential info from ggplots, reality checks. ggplot.list <- list() + AllPlotsInfo <- list() for(list.name in names(plot.list)){ p <- plot.list[[list.name]] if(is.ggplot(p)){ @@ -939,7 +939,9 @@ animint2dir <- function(plot.list, out.dir = tempfile(), checkPlotForAnimintExtensions(p, list.name) ## If plot is correct, save to meta for further processing - ggplot.list[[list.name]] <- parsePlot(meta, p, list.name) # calls ggplot_build. + parsed_info <- parsePlot(meta, p, list.name) # calls ggplot_build. + AllPlotsInfo[[list.name]] <- parsed_info[[1]] + ggplot.list[[list.name]] <- parsed_info[2:3] }else if(is.list(p)){ ## for options. meta[[list.name]] <- p }else{ @@ -1040,7 +1042,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), meta$selectors[[v.name]]$duration <- meta$duration[[v.name]] } ## Set plot sizes. - setPlotSizes(meta) + setPlotSizes(meta, AllPlotsInfo) ## Compute domains of different subsets, to be used by update_scales ## in the renderer @@ -1193,7 +1195,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Get domains of data subsets if theme_animint(update_axes) is used for(p.name in names(ggplot.list)){ - axes_to_update <- meta$plots[[p.name]]$options$update_axes + axes_to_update <- AllPlotsInfo[[p.name]]$options$update_axes if(!is.null(axes_to_update)){ for (axis in axes_to_update){ subset_domains <- list() @@ -1236,9 +1238,9 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ss_selectors <- ss_selectors[!ss_selectors %in% remove_ss] # Only save those selectors which are used by plot for(ss in ss_selectors){ - if(!ss %in% meta$plots[[p.name]]$axis_domains[[axis]]$selectors){ - meta$plots[[p.name]]$axis_domains[[axis]]$selectors <- - c(ss, meta$plots[[p.name]]$axis_domains[[axis]]$selectors) + if(!ss %in% AllPlotsInfo[[p.name]]$axis_domains[[axis]]$selectors){ + AllPlotsInfo[[p.name]]$axis_domains[[axis]]$selectors <- + c(ss, AllPlotsInfo[[p.name]]$axis_domains[[axis]]$selectors) } } if(length(ss_selectors) > 0){ @@ -1252,16 +1254,16 @@ animint2dir <- function(plot.list, out.dir = tempfile(), if(length(subset_domains) > 0){ use_domain <- get_domain(subset_domains) # Save for renderer - meta$plots[[p.name]]$axis_domains[[axis]]$domains <- use_domain + AllPlotsInfo[[p.name]]$axis_domains[[axis]]$domains <- use_domain # Get gridlines for updates - meta$plots[[p.name]]$axis_domains[[axis]]$grids <- + AllPlotsInfo[[p.name]]$axis_domains[[axis]]$grids <- get_ticks_gridlines(use_domain) ## Initially selected selector values are stored in curr_select ## which updates every time a user updates the axes saved_selectors <- sort(names(meta$selectors)) for (ss in saved_selectors){ - if(ss %in% meta$plots[[p.name]]$axis_domains[[axis]]$selectors){ - meta$plots[[p.name]]$axis_domains[[axis]]$curr_select[[ss]] <- + if(ss %in% AllPlotsInfo[[p.name]]$axis_domains[[axis]]$selectors){ + AllPlotsInfo[[p.name]]$axis_domains[[axis]]$curr_select[[ss]] <- meta$selectors[[ss]]$selected } } @@ -1272,8 +1274,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), "so created a plot with no updates for", toupper(axis), "axis"), call. = FALSE) # Do not save in plot.json file if axes is not getting updated - update_axes <- meta$plots[[p.name]]$options$update_axes - meta$plots[[p.name]]$options$update_axes <- + update_axes <- AllPlotsInfo[[p.name]]$options$update_axes + AllPlotsInfo[[p.name]]$options$update_axes <- update_axes[!axis == update_axes] } } @@ -1286,8 +1288,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), g <- storeLayer(meta, g.list[[p.name]][[g1]]$g, g.list[[p.name]][[g1]]$g.data.varied) ## Every plot has a list of geom names. - meta$plots[[p.name]]$geoms <- c( - meta$plots[[p.name]]$geoms, list(g$classed)) + AllPlotsInfo[[p.name]]$geoms <- c( + AllPlotsInfo[[p.name]]$geoms, list(g$classed)) }#layer.i } @@ -1352,6 +1354,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } } + meta$plots <- AllPlotsInfo ## Finally, copy html/js/json files to out.dir. src.dir <- system.file("htmljs",package="animint2") to.copy <- Sys.glob(file.path(src.dir, "*")) diff --git a/R/animintHelpers.R b/R/animintHelpers.R index bbef87c23..c3b94916e 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -456,7 +456,7 @@ checkSingleShowSelectedValue <- function(selectors){ #' Set plot width and height for all plots #' @param meta meta object with all information #' @return \code{NULL}. Sizes are stored in meta object -setPlotSizes <- function(meta){ +setPlotSizes <- function(meta, AllPlotsInfo){ # Set both width and height for(d in c("width","height")){ size <- meta[[d]] @@ -466,13 +466,13 @@ setPlotSizes <- function(meta){ "=", size[[1]], ") instead") if(is.null(names(size))){ #use this size for all plots. - for(plot.name in names(meta$plots)){ - meta$plots[[plot.name]]$options[[d]] <- size[[1]] + for(plot.name in names(AllPlotsInfo)){ + AllPlotsInfo[[plot.name]]$options[[d]] <- size[[1]] } }else{ #use the size specified for the named plot. for(plot.name in names(size)){ - if(plot.name %in% names(meta$plots)){ - meta$plots[[plot.name]]$options[[d]] <- size[[plot.name]] + if(plot.name %in% names(AllPlotsInfo)){ + AllPlotsInfo[[plot.name]]$options[[d]] <- size[[plot.name]] }else{ stop("no ggplot named ", plot.name) } From aaa438dcdb3e59b84fab6d812eb41210f6cfa247 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 30 May 2017 19:49:54 +0530 Subject: [PATCH 36/42] rename plot.meta to plot.info in parsePlot --- R/animint.R | 54 ++++++++++++++++++++++++++--------------------------- 1 file changed, 27 insertions(+), 27 deletions(-) diff --git a/R/animint.R b/R/animint.R index d9022bf94..60073a4a4 100644 --- a/R/animint.R +++ b/R/animint.R @@ -19,7 +19,7 @@ parsePlot <- function(meta, plot, plot.name){ } built <- ggplot2::ggplot_build(plot) - plot.meta <- list() + plot.info <- list() ## Export axis specification as a combination of breaks and ## labels, on the relevant axis scale (i.e. so that it can @@ -32,10 +32,10 @@ parsePlot <- function(meta, plot, plot.name){ ## (ignoring whatever grid::unit such as cm that was specified). ## Now ggplot specifies panel.margin in 'pt' instead of 'lines' - plot.meta$panel_margin_lines <- pt.to.lines(theme.pars$panel.margin) + plot.info$panel_margin_lines <- pt.to.lines(theme.pars$panel.margin) ## No legend if theme(legend.postion="none"). - plot.meta$legend <- if(theme.pars$legend.position != "none"){ + plot.info$legend <- if(theme.pars$legend.position != "none"){ getLegendList(built) } @@ -45,7 +45,7 @@ parsePlot <- function(meta, plot, plot.name){ ## This is the layer from the original ggplot object. L <- plot$layers[[layer.i]] ## If any legends are specified, add showSelected aesthetic - L <- addShowSelectedForLegend(meta, plot.meta$legend, L) + L <- addShowSelectedForLegend(meta, plot.info$legend, L) }#layer.i ## need to call ggplot_build again because we've added to the plot. @@ -59,22 +59,22 @@ parsePlot <- function(meta, plot, plot.name){ ## all, and instead does all of the relevant computations in animint ## code. ## 'strips' are really titles for the different facet panels - plot.meta$strips <- with(built, getStrips(plot$facet, panel)) + plot.info$strips <- with(built, getStrips(plot$facet, panel)) ## the layout tells us how to subset and where to plot on the JS side - plot.meta$layout <- with(built, flag_axis(plot$facet, panel$layout)) - plot.meta$layout <- with(built, train_layout( - plot$facet, plot$coordinates, plot.meta$layout, panel$ranges)) + plot.info$layout <- with(built, flag_axis(plot$facet, panel$layout)) + plot.info$layout <- with(built, train_layout( + plot$facet, plot$coordinates, plot.info$layout, panel$ranges)) # saving background info - plot.meta$panel_background <- get_bg(theme.pars$panel.background, theme.pars) - plot.meta$panel_border <- get_bg(theme.pars$panel.border, theme.pars) + plot.info$panel_background <- get_bg(theme.pars$panel.background, theme.pars) + plot.info$panel_border <- get_bg(theme.pars$panel.border, theme.pars) # extract major grid lines - plot.meta$grid_major <- get_grid(theme.pars$panel.grid.major, theme.pars, - plot.meta, meta, built) + plot.info$grid_major <- get_grid(theme.pars$panel.grid.major, theme.pars, + plot.info, meta, built) # extract minor grid lines - plot.meta$grid_minor <- get_grid(theme.pars$panel.grid.minor, theme.pars, - plot.meta, meta, built, major = F) + plot.info$grid_minor <- get_grid(theme.pars$panel.grid.minor, theme.pars, + plot.info, meta, built, major = F) ## Flip labels if coords are flipped - transform does not take care ## of this. Do this BEFORE checking if it is blank or not, so that @@ -96,13 +96,13 @@ parsePlot <- function(meta, plot, plot.name){ n.axis <- length(ranges) axes <- setNames(vector("list", n.axis), paste0("axis", seq_len(n.axis))) - plot.meta <- c(plot.meta, axes) + plot.info <- c(plot.info, axes) # translate axis information for (xy in c("x", "y")) { s <- function(tmp) sprintf(tmp, xy) # one axis name per plot (ie, a xtitle/ytitle is shared across panels) - plot.meta[[s("%stitle")]] <- if(is.blank(s("axis.title.%s"))){ + plot.info[[s("%stitle")]] <- if(is.blank(s("axis.title.%s"))){ "" } else { scale.i <- which(plot$scales$find(xy)) @@ -132,39 +132,39 @@ parsePlot <- function(meta, plot, plot.name){ "end" } } - plot.meta[[s("%sanchor")]] <- as.character(anchor) - plot.meta[[s("%sangle")]] <- as.numeric(angle) + plot.info[[s("%sanchor")]] <- as.character(anchor) + plot.info[[s("%sangle")]] <- as.numeric(angle) # translate panel specific axis info ctr <- 0 for (axis in names(axes)) { ctr <- ctr + 1 range <- ranges[[ctr]] - plot.meta[[axis]][[xy]] <- as.list(range[[s("%s.major_source")]]) - plot.meta[[axis]][[s("%slab")]] <- if(is.blank(s("axis.text.%s"))){ + plot.info[[axis]][[xy]] <- as.list(range[[s("%s.major_source")]]) + plot.info[[axis]][[s("%slab")]] <- if(is.blank(s("axis.text.%s"))){ NULL } else { as.list(range[[s("%s.labels")]]) } - plot.meta[[axis]][[s("%srange")]] <- range[[s("%s.range")]] - plot.meta[[axis]][[s("%sline")]] <- !is.blank(s("axis.line.%s")) - plot.meta[[axis]][[s("%sticks")]] <- !is.blank(s("axis.ticks.%s")) + plot.info[[axis]][[s("%srange")]] <- range[[s("%s.range")]] + plot.info[[axis]][[s("%sline")]] <- !is.blank(s("axis.line.%s")) + plot.info[[axis]][[s("%sticks")]] <- !is.blank(s("axis.ticks.%s")) } } # grab the unique axis labels (makes rendering simpler) - plot.meta <- getUniqueAxisLabels(plot.meta) + plot.info <- getUniqueAxisLabels(plot.info) # grab plot title if present - plot.meta$title <- getPlotTitle(theme.pars$plot.tiltle, + plot.info$title <- getPlotTitle(theme.pars$plot.tiltle, plot$labels$title) ## Set plot width and height from animint.* options if they are ## present. options_list <- getWidthAndHeight(plot$theme) options_list <- setUpdateAxes(plot$theme, options_list) - plot.meta$options <- options_list + plot.info$options <- options_list list( - plot.info = plot.meta, + plot.info=plot.info, ggplot=plot, built=built) } From b0a3e3eb009d63c6539e98dea658093e96534ac6 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 30 May 2017 20:49:54 +0530 Subject: [PATCH 37/42] we do not use meta.class anymore --- R/animint.R | 6 ------ 1 file changed, 6 deletions(-) diff --git a/R/animint.R b/R/animint.R index 60073a4a4..6a8f74708 100644 --- a/R/animint.R +++ b/R/animint.R @@ -197,11 +197,6 @@ saveLayer <- function(l, d, meta, layer_name, ggplot, built){ ranges <- built$panel$ranges - ## For each geom, save the nextgeom to preserve drawing order. - if(is.character(meta$prev.class)){ - meta$geoms[[meta$prev.class]]$nextgeom <- g$classed - } - ## needed for when group, etc. is an expression: g$aes <- sapply(l$mapping, function(k) as.character(as.expression(k))) @@ -955,7 +950,6 @@ animint2dir <- function(plot.list, out.dir = tempfile(), g.list <- list() for(p.name in names(ggplot.list)){ ggplot.info <- ggplot.list[[p.name]] - meta$prev.class <- NULL # first geom of any plot should not be next. for(layer.i in seq_along(ggplot.info$ggplot$layers)){ L <- ggplot.info$ggplot$layers[[layer.i]] df <- ggplot.info$built$data[[layer.i]] From a58784a9f6895e2f5d25c23d0c32bbc29a37307d Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Thu, 8 Jun 2017 20:10:01 +0530 Subject: [PATCH 38/42] Animation information is passed via AnimationInfo list --- R/animint.R | 46 +++++++++++++++++++++++++++------------------- 1 file changed, 27 insertions(+), 19 deletions(-) diff --git a/R/animint.R b/R/animint.R index 6a8f74708..116c0e545 100644 --- a/R/animint.R +++ b/R/animint.R @@ -190,7 +190,7 @@ storeLayer <- function(meta, g, g.data.varied){ #' ID number starting from 1 #' @return list representing a layer, with corresponding aesthetics, ranges, and groups. #' @export -saveLayer <- function(l, d, meta, layer_name, ggplot, built){ +saveLayer <- function(l, d, meta, layer_name, ggplot, built, AnimationInfo){ # Set geom name and layer name g <- list(geom=strsplit(layer_name, "_")[[1]][2]) g$classed <- layer_name @@ -538,12 +538,12 @@ saveLayer <- function(l, d, meta, layer_name, ggplot, built){ ## Get unique values of time variable. time.col <- NULL - if(is.list(meta$time)){ # if this is an animation, + if(is.list(AnimationInfo$time)){ # if this is an animation, g.time.list <- list() for(c.or.s in names(s.aes)){ cs.info <- s.aes[[c.or.s]] for(a in cs.info$one){ - if(g$aes[[a]] == meta$time$var){ + if(g$aes[[a]] == AnimationInfo$time$var){ g.time.list[[a]] <- g.data[[a]] time.col <- a } @@ -551,13 +551,13 @@ saveLayer <- function(l, d, meta, layer_name, ggplot, built){ for(row.i in seq_along(cs.info$several$value)){ cs.row <- cs.info$several[row.i,] c.name <- paste(cs.row$variable) - is.time <- g.data[[c.name]] == meta$time$var + is.time <- g.data[[c.name]] == AnimationInfo$time$var g.time.list[[c.name]] <- g.data[is.time, paste(cs.row$value)] } } u.vals <- unique(unlist(g.time.list)) if(length(u.vals)){ - meta$timeValues[[paste(g$classed)]] <- sort(u.vals) + AnimationInfo$timeValues[[paste(g$classed)]] <- sort(u.vals) } } ## Make the time variable the first subset_order variable. @@ -754,7 +754,7 @@ saveLayer <- function(l, d, meta, layer_name, ggplot, built){ data.or.null$varied } - list(g=g, g.data.varied=g.data.varied) + list(g=g, g.data.varied=g.data.varied, timeValues=AnimationInfo$timeValues) } @@ -902,16 +902,19 @@ animint2dir <- function(plot.list, out.dir = tempfile(), meta$selector.types <- plot.list$selector.types dir.create(out.dir,showWarnings=FALSE) meta$out.dir <- out.dir - + + ## Store the animation information (time, var, ms) in a separate list + AnimationInfo <- list() + ## Save the animation variable so we can treat it specially when we ## process each geom. # CPS (7-22-14): What if the user doesn't specify milliseconds? Could we provide a reasonable default? if(is.list(plot.list[["time"]])){ # Check animation variable for errors checkAnimationTimeVar(plot.list$time) - meta$time <- plot.list$time - ms <- meta$time$ms - time.var <- meta$time$variable + AnimationInfo$time <- plot.list$time + ms <- AnimationInfo$time$ms + time.var <- AnimationInfo$time$variable } ## The title option should just be a character, not a list. @@ -977,8 +980,11 @@ animint2dir <- function(plot.list, out.dir = tempfile(), geom_num <- geom_num + 1 layer_name <- getLayerName(L, geom_num, p.name) gl <- saveLayer(L, df, meta, layer_name, - ggplot.info$ggplot, ggplot.info$built) - + ggplot.info$ggplot, ggplot.info$built, AnimationInfo) + + ## Save Animation Info separately + AnimationInfo$timeValues <- gl$timeValues + gl$timeValues <- NULL ## Save to a list before saving to tsv ## Helps during axis updates and Inf values g.list[[p.name]][[gl$g$classed]] <- gl @@ -1294,11 +1300,11 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## These geoms need to be updated when the time.var is animated, so ## let's make a list of all possible values to cycle through, from ## all the values used in those geoms. - if("time" %in% ls(meta)){ - meta$selectors[[meta$time$variable]]$type <- "single" - anim.values <- meta$timeValues - if(length(meta$timeValues)==0){ - stop("no interactive aes for time variable ", meta$time$variable) + if("time" %in% names(AnimationInfo)){ + meta$selectors[[AnimationInfo$time$variable]]$type <- "single" + anim.values <- AnimationInfo$timeValues + if(length(AnimationInfo$timeValues)==0){ + stop("no interactive aes for time variable ", AnimationInfo$time$variable) } anim.not.null <- anim.values[!sapply(anim.values, is.null)] time.classes <- sapply(anim.not.null, function(x) class(x)[1]) @@ -1307,7 +1313,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), print(time.classes) stop("time variables must all have the same class") } - meta$time$sequence <- if(time.class=="POSIXct"){ + AnimationInfo$time$sequence <- if(time.class=="POSIXct"){ orderTime <- function(format){ values <- unlist(sapply(anim.not.null, strftime, format)) sort(unique(as.character(values))) @@ -1329,7 +1335,7 @@ animint2dir <- function(plot.list, out.dir = tempfile(), }else{ #character, numeric, integer, ... what else? as.character(sort(unique(unlist(anim.not.null)))) } - meta$selectors[[time.var]]$selected <- meta$time$sequence[[1]] + meta$selectors[[time.var]]$selected <- AnimationInfo$time$sequence[[1]] } ## The first selection: @@ -1349,6 +1355,8 @@ animint2dir <- function(plot.list, out.dir = tempfile(), } meta$plots <- AllPlotsInfo + meta$time <- AnimationInfo$time + meta$timeValues <- AnimationInfo$timeValues ## Finally, copy html/js/json files to out.dir. src.dir <- system.file("htmljs",package="animint2") to.copy <- Sys.glob(file.path(src.dir, "*")) From c3af3a96bfd9e9c2f1920e553b191ad264c7d8ef Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Thu, 8 Jun 2017 23:23:59 +0530 Subject: [PATCH 39/42] removeUniquePanelColumn to animintHelpers --- R/animint.R | 9 +++------ R/animintHelpers.R | 11 +++++++++++ 2 files changed, 14 insertions(+), 6 deletions(-) diff --git a/R/animint.R b/R/animint.R index 116c0e545..296e0cece 100644 --- a/R/animint.R +++ b/R/animint.R @@ -671,13 +671,10 @@ saveLayer <- function(l, d, meta, layer_name, ggplot, built, AnimationInfo){ } # If there is only one PANEL, we don't need it anymore. + # g$PANEL <- unique(g.data[["PANEL"]]) plot.has.panels <- nrow(built$panel$layout) > 1 - g$PANEL <- unique(g.data[["PANEL"]]) - geom.has.one.panel <- length(g$PANEL) == 1 - if(geom.has.one.panel && (!plot.has.panels)) { - g.data <- g.data[names(g.data) != "PANEL"] - } - + g.data <- removeUniquePanelValue(g.data, plot.has.panels) + ## Also add pointers to these chunks from the related selectors. if(length(chunk.cols)){ selector.names <- as.character(g$aes[chunk.cols]) diff --git a/R/animintHelpers.R b/R/animintHelpers.R index c3b94916e..055b767ec 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -284,6 +284,17 @@ is.linetype <- function(x){ } +## Remove PANEL column from data if it has a single unique value +removeUniquePanelValue <- function(g.data, plot.has.panels){ + PANEL_vals <- unique(g.data[["PANEL"]]) + geom.has.one.panel <- length(PANEL_vals) == 1 + if(geom.has.one.panel && (!plot.has.panels)) { + g.data <- g.data[names(g.data) != "PANEL"] + } + g.data +} + + #' Check plot.list for errors #' #' Check that plot.list is a list and every element is named From ec4d9013bf500f5ca937e527542165a2cd9fb383 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Fri, 9 Jun 2017 19:19:11 +0530 Subject: [PATCH 40/42] move compute_domains and related axes update functions to animintHelpers --- R/animint.R | 149 -------------------------------------------- R/animintHelpers.R | 150 +++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 150 insertions(+), 149 deletions(-) diff --git a/R/animint.R b/R/animint.R index 296e0cece..5b3fc1e93 100644 --- a/R/animint.R +++ b/R/animint.R @@ -1041,155 +1041,6 @@ animint2dir <- function(plot.list, out.dir = tempfile(), ## Set plot sizes. setPlotSizes(meta, AllPlotsInfo) - ## Compute domains of different subsets, to be used by update_scales - ## in the renderer - compute_domains <- function(built_data, axes, geom_name, - vars, split_by_panel){ - # Different geoms will use diff columns to calculate domains for - # showSelected subsets. Eg. geom_bar will use 'xmin', 'xmax', 'ymin', - # 'ymax' etc. while geom_point will use 'x', 'y' - domain_cols <- list(bar=c(paste0(axes, "min"), paste0(axes, "max")), - ribbon=if(axes=="x"){c(axes)} - else{c(paste0(axes, "min"), paste0(axes, "max"))}, - rect=c(paste0(axes, "min"), paste0(axes, "max")), - tallrect=if(axes=="x") - {c(paste0("xmin"), paste0("xmax"))} - else{NULL}, - point=c(axes), - path=c(axes), - text=c(axes), - line=c(axes), - segment=c(axes, paste0(axes, "end"))) - use_cols <- domain_cols[[geom_name]] - if(is.null(use_cols)){ - warning(paste0("axis updates have not yet been implemented for geom_", - geom_name), call. = FALSE) - return(NULL) - }else if(!all(use_cols %in% names(built_data))){ - return(NULL) - } - domain_vals <- list() - inter_data <- built_data[[ vars[[1]] ]] - # If we have more than one showSelected vars, we need to compute - # every possible subset domain - if(length(vars) > 1){ - for(i in 2:length(vars)){ - inter_data <- interaction(inter_data, built_data[[vars [[i]] ]], - sep = "_") - } - } - # Split by PANEL only when specified, else use first value of PANEL - # It is a hack and must be handled in a better way - split_by <- if(split_by_panel){ - interaction(built_data$PANEL, inter_data) - }else{ - levels(inter_data) <- paste0(unique(built_data$PANEL[[1]]), - ".", levels(inter_data)) - inter_data - } - if(geom_name %in% c("point", "path", "text", "line")){ - # We suppress 'returning Inf' warnings when we compute a factor - # interaction that has no data to display - domain_vals[[use_cols[1]]] <- - suppressWarnings(lapply(split(built_data[[use_cols[1]]], - split_by), - range, na.rm=TRUE)) - }else if(geom_name %in% c("bar", "rect", "tallrect")){ - # Calculate min and max values of each subset separately - min_vals <- suppressWarnings(lapply(split(built_data[[use_cols[1]]], - split_by), - min, na.rm=TRUE)) - max_vals <- suppressWarnings(lapply(split(built_data[[use_cols[2]]], - split_by), - max, na.rm=TRUE)) - domain_vals <- list(mapply(c, min_vals, max_vals, SIMPLIFY = FALSE)) - }else if(geom_name %in% c("segment")){ - domain_vals[[use_cols[1]]] <- - suppressWarnings(lapply(split(built_data[, use_cols], split_by), - range, na.rm=TRUE)) - }else if(geom_name %in% c("ribbon")){ - if(axes=="x"){ - domain_vals[[use_cols[1]]] <- - suppressWarnings(lapply(split(built_data[[use_cols[1]]], - split_by), - range, na.rm=TRUE)) - }else{ - min_vals <- suppressWarnings(lapply(split(built_data[[use_cols[1]]], - split_by), - min, na.rm=TRUE)) - max_vals <- suppressWarnings(lapply(split(built_data[[use_cols[2]]], - split_by), - max, na.rm=TRUE)) - domain_vals <- list(mapply(c, min_vals, max_vals, SIMPLIFY = FALSE)) - } - } - domain_vals - } - - ## Out of all the possible geoms, get the min/max value which will - ## determine the domain to be used in the renderer - get_domain <- function(subset_domains){ - use_domain <- list() - ## ggplot gives a margin of 5% at all four sides which does not - ## have any plotted data. So axis ranges are 10% bigger than the - ## actual ranges of data. We do the same here - extra_margin = 0.05 - for(i in unique(unlist(lapply(subset_domains, names)))){ - all_vals <- lapply(subset_domains, "[[", i) - all_vals <- all_vals[!sapply(all_vals, is.null)] - min_val <- min(sapply(all_vals, "[[", 1)) - max_val <- max(sapply(all_vals, "[[", 2)) - # We ignore non finite values that may have creeped in while - # calculating all possible subset domains - if(all(is.finite(c(max_val, min_val)))){ - use_domain[[i]] <-if(max_val - min_val > 0){ - c(min_val - (extra_margin *(max_val-min_val)), - max_val + (extra_margin *(max_val-min_val))) - }else{ - # If min_val and max_val are same, return a range equal to - # the value - warning("some data subsets have only a single data value to plot", - call. = FALSE) - return_dom <- c(min_val - (0.5 * min_val), max_val + (0.5 * max_val)) - if(min_val == 0){ - # if min_val = max_val = 0, return a range (-1, 1) - return_dom <- c(-1, 1) - } - return_dom - } - }else{ - warning("some data subsets have no data to plot", call. = FALSE) - } - } - use_domain - } - - ## get axis ticks and major/minor grid lines for updating plots - get_ticks_gridlines <- function(use_domain){ - gridlines <- list() - for (i in seq_along(use_domain)){ - all_lines <- scales::pretty_breaks(n=10)(use_domain[[i]]) - if(length(all_lines) > 0){ - # make sure grid lines are not outside plot domain - if(use_domain[[i]][1] > all_lines[[1]]){ - all_lines <- all_lines[2:length(all_lines)] - } - if(use_domain[[i]][2] < all_lines[[length(all_lines)]]){ - all_lines <- all_lines[1:(length(all_lines)-1)] - } - # Every second grid line is minor, rest major - # Major grid lines are also used for drawing axis ticks - # Eg. If all_lines = 1:10 - # minor grid lines = 1, 3, 5, 7, 9 - # major grid lines = 2, 4, 6, 8, 10 - majors <- all_lines[c(FALSE, TRUE)] - minors <- all_lines[c(TRUE, FALSE)] - gridlines[[ names(use_domain)[[i]] ]] <- list(minors, majors) - } - } - gridlines - } - ## Get domains of data subsets if theme_animint(update_axes) is used for(p.name in names(ggplot.list)){ axes_to_update <- AllPlotsInfo[[p.name]]$options$update_axes diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 055b767ec..ffe22795a 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -401,6 +401,156 @@ checkPlotForAnimintExtensions <- function(p, plot_name){ } +## Compute domains of different subsets, to be used by update_scales +## in the renderer +compute_domains <- function(built_data, axes, geom_name, + vars, split_by_panel){ + # Different geoms will use diff columns to calculate domains for + # showSelected subsets. Eg. geom_bar will use 'xmin', 'xmax', 'ymin', + # 'ymax' etc. while geom_point will use 'x', 'y' + domain_cols <- list(bar=c(paste0(axes, "min"), paste0(axes, "max")), + ribbon=if(axes=="x"){c(axes)} + else{c(paste0(axes, "min"), paste0(axes, "max"))}, + rect=c(paste0(axes, "min"), paste0(axes, "max")), + tallrect=if(axes=="x") + {c(paste0("xmin"), paste0("xmax"))} + else{NULL}, + point=c(axes), + path=c(axes), + text=c(axes), + line=c(axes), + segment=c(axes, paste0(axes, "end"))) + use_cols <- domain_cols[[geom_name]] + if(is.null(use_cols)){ + warning(paste0("axis updates have not yet been implemented for geom_", + geom_name), call. = FALSE) + return(NULL) + }else if(!all(use_cols %in% names(built_data))){ + return(NULL) + } + domain_vals <- list() + inter_data <- built_data[[ vars[[1]] ]] + # If we have more than one showSelected vars, we need to compute + # every possible subset domain + if(length(vars) > 1){ + for(i in 2:length(vars)){ + inter_data <- interaction(inter_data, built_data[[vars [[i]] ]], + sep = "_") + } + } + # Split by PANEL only when specified, else use first value of PANEL + # It is a hack and must be handled in a better way + split_by <- if(split_by_panel){ + interaction(built_data$PANEL, inter_data) + }else{ + levels(inter_data) <- paste0(unique(built_data$PANEL[[1]]), + ".", levels(inter_data)) + inter_data + } + if(geom_name %in% c("point", "path", "text", "line")){ + # We suppress 'returning Inf' warnings when we compute a factor + # interaction that has no data to display + domain_vals[[use_cols[1]]] <- + suppressWarnings(lapply(split(built_data[[use_cols[1]]], + split_by), + range, na.rm=TRUE)) + }else if(geom_name %in% c("bar", "rect", "tallrect")){ + # Calculate min and max values of each subset separately + min_vals <- suppressWarnings(lapply(split(built_data[[use_cols[1]]], + split_by), + min, na.rm=TRUE)) + max_vals <- suppressWarnings(lapply(split(built_data[[use_cols[2]]], + split_by), + max, na.rm=TRUE)) + domain_vals <- list(mapply(c, min_vals, max_vals, SIMPLIFY = FALSE)) + }else if(geom_name %in% c("segment")){ + domain_vals[[use_cols[1]]] <- + suppressWarnings(lapply(split(built_data[, use_cols], split_by), + range, na.rm=TRUE)) + }else if(geom_name %in% c("ribbon")){ + if(axes=="x"){ + domain_vals[[use_cols[1]]] <- + suppressWarnings(lapply(split(built_data[[use_cols[1]]], + split_by), + range, na.rm=TRUE)) + }else{ + min_vals <- suppressWarnings(lapply(split(built_data[[use_cols[1]]], + split_by), + min, na.rm=TRUE)) + max_vals <- suppressWarnings(lapply(split(built_data[[use_cols[2]]], + split_by), + max, na.rm=TRUE)) + domain_vals <- list(mapply(c, min_vals, max_vals, SIMPLIFY = FALSE)) + } + } + domain_vals +} + +## Out of all the possible geoms, get the min/max value which will +## determine the domain to be used in the renderer +get_domain <- function(subset_domains){ + use_domain <- list() + ## ggplot gives a margin of 5% at all four sides which does not + ## have any plotted data. So axis ranges are 10% bigger than the + ## actual ranges of data. We do the same here + extra_margin = 0.05 + for(i in unique(unlist(lapply(subset_domains, names)))){ + all_vals <- lapply(subset_domains, "[[", i) + all_vals <- all_vals[!sapply(all_vals, is.null)] + min_val <- min(sapply(all_vals, "[[", 1)) + max_val <- max(sapply(all_vals, "[[", 2)) + # We ignore non finite values that may have creeped in while + # calculating all possible subset domains + if(all(is.finite(c(max_val, min_val)))){ + use_domain[[i]] <-if(max_val - min_val > 0){ + c(min_val - (extra_margin *(max_val-min_val)), + max_val + (extra_margin *(max_val-min_val))) + }else{ + # If min_val and max_val are same, return a range equal to + # the value + warning("some data subsets have only a single data value to plot", + call. = FALSE) + return_dom <- c(min_val - (0.5 * min_val), max_val + (0.5 * max_val)) + if(min_val == 0){ + # if min_val = max_val = 0, return a range (-1, 1) + return_dom <- c(-1, 1) + } + return_dom + } + }else{ + warning("some data subsets have no data to plot", call. = FALSE) + } + } + use_domain +} + +## get axis ticks and major/minor grid lines for updating plots +get_ticks_gridlines <- function(use_domain){ + gridlines <- list() + for (i in seq_along(use_domain)){ + all_lines <- scales::pretty_breaks(n=10)(use_domain[[i]]) + if(length(all_lines) > 0){ + # make sure grid lines are not outside plot domain + if(use_domain[[i]][1] > all_lines[[1]]){ + all_lines <- all_lines[2:length(all_lines)] + } + if(use_domain[[i]][2] < all_lines[[length(all_lines)]]){ + all_lines <- all_lines[1:(length(all_lines)-1)] + } + # Every second grid line is minor, rest major + # Major grid lines are also used for drawing axis ticks + # Eg. If all_lines = 1:10 + # minor grid lines = 1, 3, 5, 7, 9 + # major grid lines = 2, 4, 6, 8, 10 + majors <- all_lines[c(FALSE, TRUE)] + minors <- all_lines[c(TRUE, FALSE)] + gridlines[[ names(use_domain)[[i]] ]] <- list(minors, majors) + } + } + gridlines +} + + #' Issue warnings for selectors #' @param geoms \code{geoms} to check for warnings #' @param selector.aes selectors for each geom From 5c3be1579531052559cbcad08e0fa1736db8bda7 Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Sat, 10 Jun 2017 12:30:12 +0530 Subject: [PATCH 41/42] add data for the package --- data/ChromHMMiterations.RData | Bin 0 -> 123490 bytes data/FluView.RData | Bin 0 -> 77708 bytes data/FunctionalPruning.RData | Bin 0 -> 16626 bytes data/PeakConsistency.RData | Bin 0 -> 147378 bytes data/TestROC.RData | Bin 0 -> 3853 bytes data/UStornadoes.RData | Bin 0 -> 704636 bytes data/VariantModels.RData | Bin 0 -> 265483 bytes data/WorldBank.RData | Bin 0 -> 171184 bytes data/breakpoints.RData | Bin 0 -> 27592 bytes data/change.RData | Bin 0 -> 94200 bytes data/climate.RData | Bin 0 -> 165176 bytes data/compare.RData | Bin 0 -> 707184 bytes data/generation.loci.RData | Bin 0 -> 332504 bytes data/intreg.RData | Bin 0 -> 15348 bytes data/malaria.RData | Bin 0 -> 51169 bytes data/mixtureKNN.RData | Bin 0 -> 122360 bytes data/pirates.RData | Bin 0 -> 628960 bytes data/prior.RData | Bin 0 -> 9804 bytes data/prostateLasso.RData | Bin 0 -> 19212 bytes data/vervet.RData | Bin 0 -> 97156 bytes data/worldPop.RData | Bin 0 -> 1471 bytes 21 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 data/ChromHMMiterations.RData create mode 100644 data/FluView.RData create mode 100644 data/FunctionalPruning.RData create mode 100644 data/PeakConsistency.RData create mode 100644 data/TestROC.RData create mode 100644 data/UStornadoes.RData create mode 100644 data/VariantModels.RData create mode 100644 data/WorldBank.RData create mode 100644 data/breakpoints.RData create mode 100644 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z-b&1sdBj}3kC?O>g2ZgM?oz*9zE0<0?k~dJ+!1qrGt3b?P-`S6cS_9sZlGV^3*Gac z#N>78RU6RjTA*+9qJK3G{X{iJ`y7m%ei()QF~YxL%&Edy@GQon#TfG@Va%5HfCue~ zacB((Q2jna-Te%zx)Alw^{Ah}KyOox-X|5kr}%Z(p{r%6L+Pm9LDZ%+)T1e=@GjJC zAD~iRMw#2uzMKT9%b}MaZjxM)xmx1rFbvOu(K}(h>_xHU41cBU|16l@7ao#WUh)hq zll-wtVq?wQ63-HA&pi&CWlvw-h5fY<_TSr}WnPB%z+|-NQqT_cMoGx3{xvA?aa2fh zjITASum$S&cBm1DP`Q0jnQKwK?m%_!ifXk-#wl|?KKm>^{a-ZBzkOdf`E2sp<g>}= zCHOoo2koagqX6v@1t<cr+~bS<B@{_oQYu>cjI|cAzNlV2S6=!(rB*~<s)$kzmETzu z5Yg=yB^}YG(=1Q0v22zF%F2D7@Zb7bg{PHS=ec$T15;BX?oa<)wBIY2Q>RYu{fAMS Z6Fgy0N^wwLIWtmD{sCQIQmr8s008tI;QRmp literal 0 HcmV?d00001 From 179b742e5e3108643389372381d43e28bae699aa Mon Sep 17 00:00:00 2001 From: faizan <faizan.khan.iitbhu@gmail.com> Date: Tue, 13 Jun 2017 20:56:22 +0530 Subject: [PATCH 42/42] update DESCRIPTION file --- DESCRIPTION | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 95fe7db0b..8af77a3e5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,9 @@ Package: animint2 -Title: What the Package Does (one line, title case) -Version: 2.0.0.0000 +Title: Interactive animations +Version: 2017.06.13 Authors@R: person("First", "Last", email = "first.last@example.com", role = c("aut", "cre")) -Description: What the package does (one paragraph). +Description: An interactive animation can be defined using a list of + ggplots with clickSelects and showSelected aesthetics. Depends: R (>= 3.3.2) License: What license is it under? Encoding: UTF-8
, and + ## elements. + cleanData <- function(data, key, geom, params) { + nd <- nrow(data) + nk <- nrow(key) + if (nd == 0) return(data.frame()); # if no rows, return an empty df. + if ("guide" %in% names(params)) { + if (params[["guide"]] == "none") return(data.frame()); # if no guide, return an empty df + } + if (nd != nk) warning("key and data have different number of rows") + if (!".label" %in% names(key)) return(data.frame()); # if there are no labels, return an empty df. + data$`.label` <- key$`.label` + data <- data[, which(colSums(!is.na(data)) > 0)] # remove cols that are entirely na + if("colour" %in% names(data)) data[["colour"]] <- toRGB(data[["colour"]]) # color hex values + if("fill" %in% names(data)) data[["fill"]] <- toRGB(data[["fill"]]) # fill hex values + names(data) <- paste0(geom, names(data))# aesthetics by geom + names(data) <- gsub(paste0(geom, "."), "", names(data), fixed=TRUE) # label isn't geom-specific + data$label <- paste(data$label) # otherwise it is AsIs. + data + } + dataframes <- mapply(function(i, j) cleanData(i$data, mb$key, j, i$params), + mb$geoms, mb$geom.legend.list, SIMPLIFY = FALSE) + dataframes <- dataframes[which(sapply(dataframes, nrow)>0)] + # Check to make sure datframes is non-empty. If it is empty, return NULL. + if(length(dataframes)>0) { + data <- merge_recurse(dataframes) + } else return(NULL) + label.num <- suppressWarnings({ + as.numeric(data$label) + }) + ## mb$breaks could be a vector of values to use, NULL, or an empty + ## list with class "waiver" + breaks.specified <- length(mb$breaks) + entry.order <- if(breaks.specified || anyNA(label.num)){ + 1:nrow(data) + }else{ + nrow(data):1 + } + data <- lapply(entry.order, function(i) as.list(data[i,])) + if(guidetype=="none"){ + NULL + }else{ + list(guide = guidetype, + geoms = unlist(mb$geom.legend.list), + title = mb$title, + class = if(mb$is.discrete)mb$selector else mb$title, + selector = mb$selector, + is_discrete= mb$is.discrete, + legend_type = mb$legend_type, + entries = data) + } +} diff --git a/man/getLegend.Rd b/man/getLegend.Rd index 0d6274228..96435f277 100644 --- a/man/getLegend.Rd +++ b/man/getLegend.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{getLegend} \alias{getLegend} \title{Function to get legend information for each scale} From 757bac423b7cf17e8331081e5f50d52539fee405 Mon Sep 17 00:00:00 2001 From: faizan Date: Tue, 23 May 2017 19:25:56 +0530 Subject: [PATCH 25/42] move getCommonChunk, saveChunks, split.x, varied.chunk to animint helpers --- R/animint.R | 204 +---------------------------------------- R/animintHelpers.R | 208 ++++++++++++++++++++++++++++++++++++++++++ man/getCommonChunk.Rd | 2 +- man/saveChunks.Rd | 2 +- man/split.x.Rd | 2 +- man/varied.chunk.Rd | 2 +- 6 files changed, 213 insertions(+), 207 deletions(-) diff --git a/R/animint.R b/R/animint.R index 5faa7d4e3..e2df3b33a 100644 --- a/R/animint.R +++ b/R/animint.R @@ -763,209 +763,6 @@ saveLayer <- function(l, d, meta){ g } -##' Save the common columns for each tsv to one chunk -##' @param built data.frame of built data. -##' @param vars character vector of chunk variable names to split on. -##' @param aes.list a character vector of aesthetics. -##' @return a list of common and varied data to save, or NULL if there is -##' no common data. -getCommonChunk <- function(built, chunk.vars, aes.list){ - if(length(chunk.vars) == 0){ - return(NULL) - } - if(! "group" %in% names(aes.list)){ - ## user did not specify group, so do not use any ggplot2-computed - ## group for deciding common data. - built$group <- NULL - } - - ## Remove columns with all NA values - ## so that common.not.na is not empty - ## due to the plot's alpha, stroke or other columns - all.nas <- sapply(built, function(x){all(is.na(x))}) - built <- built[, !all.nas] - - ## Treat factors as characters, to avoid having them be coerced to - ## integer later. - for(col.name in names(built)){ - if(is.factor(built[, col.name])){ - built[, col.name] <- paste(built[, col.name]) - } - } - - ## If there is only one chunk, then there is no point of making a - ## common data file. - chunk.rows.tab <- table(built[, chunk.vars]) - if(length(chunk.rows.tab) == 1) return(NULL) - - ## If there is no group column, and all the chunks are the same - ## size, then add one based on the row number. - if(! "group" %in% names(built)){ - chunk.rows <- chunk.rows.tab[1] - same.size <- chunk.rows == chunk.rows.tab - order.args <- lapply(chunk.vars, function(order.col)built[[order.col]]) - built <- built[do.call(order, order.args),] - if(all(same.size)){ - built$group <- 1:chunk.rows - }else{ - ## do not save a common chunk file. - return(NULL) - } - } - - built.by.group <- split(built, built$group) - group.tab <- table(built[, c("group", chunk.vars)]) - each.group.same.size <- apply(group.tab, 1, function(group.size.vec){ - group.size <- group.size.vec[1] - if(all(group.size == group.size.vec)){ - ## groups are all this size. - group.size - }else{ - ## groups not the same size. - 0 - } - }) - - checkCommon <- function(col.name){ - for(group.name in names(built.by.group)){ - data.vec <- built.by.group[[group.name]][[col.name]] - if(group.size <- each.group.same.size[[group.name]]){ - not.same.value <- data.vec != data.vec[1:group.size] - if(any(not.same.value, na.rm=TRUE)){ - ## if any data values are different, then this is not a - ## common column. - return(FALSE) - } - }else{ - ## this group has different sizes in different chunks, so the - ## only way that we can make common data is if there is only - ## value. - value.tab <- table(data.vec) - if(length(value.tab) != 1){ - return(FALSE) - } - } - } - TRUE - } - - all.col.names <- names(built) - col.name.vec <- all.col.names[!all.col.names %in% chunk.vars] - is.common <- sapply(col.name.vec, checkCommon) - - ## TODO: another criterion could be used to save disk space even if - ## there is only 1 chunk. - n.common <- sum(is.common) - if(is.common[["group"]] && 2 <= n.common && n.common < length(is.common)){ - common.cols <- names(is.common)[is.common] - group.info.list <- list() - for(group.name in names(built.by.group)){ - one.group <- built.by.group[[group.name]] - group.size <- each.group.same.size[[group.name]] - if(group.size == 0){ - group.size <- 1 - } - group.common <- one.group[, common.cols] - ## Instead of just taking the first chunk for this group (which - ## may have NA), look for the chunk which has the fewest NA. - is.na.vec <- apply(is.na(group.common), 1, any) - is.na.mat <- matrix(is.na.vec, group.size) - group.i <- which.min(colSums(is.na.mat)) - offset <- (group.i-1)*group.size - group.info.list[[group.name]] <- group.common[(1:group.size)+offset, ] - } - group.info.common <- do.call(rbind, group.info.list) - common.unique <- unique(group.info.common) - ## For geom_polygon and geom_path we may have two rows that should - ## both be kept (the start and the end of each group may be the - ## same if the shape is closed), so we define common.data as all - ## of the rows (common.not.na) in that case, and just the unique - ## data per group (common.unique) in the other case. - data.per.group <- table(common.unique$group) - common.data <- if(all(data.per.group == 1)){ - common.unique - }else{ - group.info.common - } - varied.df.list <- split.x(na.omit(built), chunk.vars) - varied.cols <- c("group", names(is.common)[!is.common]) - varied.data <- varied.chunk(varied.df.list, varied.cols) - return(list(common=na.omit(common.data), - varied=varied.data)) - } -} - -##' Extract subset for each data.frame in a list of data.frame -##' @param df.or.list a data.frame or a list of data.frame. -##' @param cols cols that each data.frame would keep. -##' @return list of data.frame. -varied.chunk <- function(df.or.list, cols){ - if(is.data.frame(df.or.list)){ - df <- df.or.list[, cols, drop = FALSE] - u.df <- unique(df) - group.counts <- table(u.df$group) - if(all(group.counts == 1)){ - u.df - }else{ - df - } - } else{ - lapply(df.or.list, varied.chunk, cols) - } -} - -##' Split data.frame into recursive list of data.frame. -##' @param x data.frame. -##' @param vars character vector of variable names to split on. -##' @return recursive list of data.frame. -split.x <- function(x, vars){ - if(length(vars)==0)return(x) - if(is.data.frame(x)){ - - ## Remove columns with all NA values - ## so that x is not empty due to - ## the plot's alpha, stroke or other columns - all.nas <- sapply(x, function(col.m){all(is.na(col.m))}) - x <- x[, !all.nas] - - # rows with NA should not be saved - x <- na.omit(x) - if(length(vars) == 1){ - split(x[names(x) != vars], x[vars], drop = TRUE) - }else{ - use <- vars[1] - rest <- vars[-1] - df.list <- split(x[names(x) != use], x[use], drop = TRUE) - split.x(df.list, rest) - } - }else if(is.list(x)){ - lapply(x, split.x, vars) - }else{ - str(x) - stop("unknown object") - } -} - -##' Split data set into chunks and save them to separate files. -##' @param x data.frame. -##' @param meta environment. -##' @return recursive list of chunk file names. -##' @author Toby Dylan Hocking -saveChunks <- function(x, meta){ - if(is.data.frame(x)){ - this.i <- meta$chunk.i - csv.name <- sprintf("%s_chunk%d.tsv", meta$g$classed, this.i) - write.table(x, file.path(meta$out.dir, csv.name), quote=FALSE, - row.names=FALSE, sep="\t") - meta$chunk.i <- meta$chunk.i + 1L - this.i - }else if(is.list(x)){ - lapply(x, saveChunks, meta) - }else{ - str(x) - stop("unknown object") - } -} ##' Parse selectors from aes names. ##' @title Parse selectors from aes names. @@ -1017,6 +814,7 @@ selector.aes <- function(a.list){ aes.list } + ##' Deprecated alias for animint2dir. ##' @title animint2dir ##' @param ... passed to animint2dir diff --git a/R/animintHelpers.R b/R/animintHelpers.R index 8ae761049..ed03ff6ab 100644 --- a/R/animintHelpers.R +++ b/R/animintHelpers.R @@ -552,3 +552,211 @@ getLegend <- function(mb){ entries = data) } } + + +##' Save the common columns for each tsv to one chunk +##' @param built data.frame of built data. +##' @param vars character vector of chunk variable names to split on. +##' @param aes.list a character vector of aesthetics. +##' @return a list of common and varied data to save, or NULL if there is +##' no common data. +getCommonChunk <- function(built, chunk.vars, aes.list){ + if(length(chunk.vars) == 0){ + return(NULL) + } + if(! "group" %in% names(aes.list)){ + ## user did not specify group, so do not use any ggplot2-computed + ## group for deciding common data. + built$group <- NULL + } + + ## Remove columns with all NA values + ## so that common.not.na is not empty + ## due to the plot's alpha, stroke or other columns + all.nas <- sapply(built, function(x){all(is.na(x))}) + built <- built[, !all.nas] + + ## Treat factors as characters, to avoid having them be coerced to + ## integer later. + for(col.name in names(built)){ + if(is.factor(built[, col.name])){ + built[, col.name] <- paste(built[, col.name]) + } + } + + ## If there is only one chunk, then there is no point of making a + ## common data file. + chunk.rows.tab <- table(built[, chunk.vars]) + if(length(chunk.rows.tab) == 1) return(NULL) + + ## If there is no group column, and all the chunks are the same + ## size, then add one based on the row number. + if(! "group" %in% names(built)){ + chunk.rows <- chunk.rows.tab[1] + same.size <- chunk.rows == chunk.rows.tab + order.args <- lapply(chunk.vars, function(order.col)built[[order.col]]) + built <- built[do.call(order, order.args),] + if(all(same.size)){ + built$group <- 1:chunk.rows + }else{ + ## do not save a common chunk file. + return(NULL) + } + } + + built.by.group <- split(built, built$group) + group.tab <- table(built[, c("group", chunk.vars)]) + each.group.same.size <- apply(group.tab, 1, function(group.size.vec){ + group.size <- group.size.vec[1] + if(all(group.size == group.size.vec)){ + ## groups are all this size. + group.size + }else{ + ## groups not the same size. + 0 + } + }) + + checkCommon <- function(col.name){ + for(group.name in names(built.by.group)){ + data.vec <- built.by.group[[group.name]][[col.name]] + if(group.size <- each.group.same.size[[group.name]]){ + not.same.value <- data.vec != data.vec[1:group.size] + if(any(not.same.value, na.rm=TRUE)){ + ## if any data values are different, then this is not a + ## common column. + return(FALSE) + } + }else{ + ## this group has different sizes in different chunks, so the + ## only way that we can make common data is if there is only + ## value. + value.tab <- table(data.vec) + if(length(value.tab) != 1){ + return(FALSE) + } + } + } + TRUE + } + + all.col.names <- names(built) + col.name.vec <- all.col.names[!all.col.names %in% chunk.vars] + is.common <- sapply(col.name.vec, checkCommon) + + ## TODO: another criterion could be used to save disk space even if + ## there is only 1 chunk. + n.common <- sum(is.common) + if(is.common[["group"]] && 2 <= n.common && n.common < length(is.common)){ + common.cols <- names(is.common)[is.common] + group.info.list <- list() + for(group.name in names(built.by.group)){ + one.group <- built.by.group[[group.name]] + group.size <- each.group.same.size[[group.name]] + if(group.size == 0){ + group.size <- 1 + } + group.common <- one.group[, common.cols] + ## Instead of just taking the first chunk for this group (which + ## may have NA), look for the chunk which has the fewest NA. + is.na.vec <- apply(is.na(group.common), 1, any) + is.na.mat <- matrix(is.na.vec, group.size) + group.i <- which.min(colSums(is.na.mat)) + offset <- (group.i-1)*group.size + group.info.list[[group.name]] <- group.common[(1:group.size)+offset, ] + } + group.info.common <- do.call(rbind, group.info.list) + common.unique <- unique(group.info.common) + ## For geom_polygon and geom_path we may have two rows that should + ## both be kept (the start and the end of each group may be the + ## same if the shape is closed), so we define common.data as all + ## of the rows (common.not.na) in that case, and just the unique + ## data per group (common.unique) in the other case. + data.per.group <- table(common.unique$group) + common.data <- if(all(data.per.group == 1)){ + common.unique + }else{ + group.info.common + } + varied.df.list <- split.x(na.omit(built), chunk.vars) + varied.cols <- c("group", names(is.common)[!is.common]) + varied.data <- varied.chunk(varied.df.list, varied.cols) + return(list(common=na.omit(common.data), + varied=varied.data)) + } +} + + +##' Extract subset for each data.frame in a list of data.frame +##' @param df.or.list a data.frame or a list of data.frame. +##' @param cols cols that each data.frame would keep. +##' @return list of data.frame. +varied.chunk <- function(df.or.list, cols){ + if(is.data.frame(df.or.list)){ + df <- df.or.list[, cols, drop = FALSE] + u.df <- unique(df) + group.counts <- table(u.df$group) + if(all(group.counts == 1)){ + u.df + }else{ + df + } + } else{ + lapply(df.or.list, varied.chunk, cols) + } +} + + +##' Split data.frame into recursive list of data.frame. +##' @param x data.frame. +##' @param vars character vector of variable names to split on. +##' @return recursive list of data.frame. +split.x <- function(x, vars){ + if(length(vars)==0)return(x) + if(is.data.frame(x)){ + + ## Remove columns with all NA values + ## so that x is not empty due to + ## the plot's alpha, stroke or other columns + all.nas <- sapply(x, function(col.m){all(is.na(col.m))}) + x <- x[, !all.nas] + + # rows with NA should not be saved + x <- na.omit(x) + if(length(vars) == 1){ + split(x[names(x) != vars], x[vars], drop = TRUE) + }else{ + use <- vars[1] + rest <- vars[-1] + df.list <- split(x[names(x) != use], x[use], drop = TRUE) + split.x(df.list, rest) + } + }else if(is.list(x)){ + lapply(x, split.x, vars) + }else{ + str(x) + stop("unknown object") + } +} + + +##' Split data set into chunks and save them to separate files. +##' @param x data.frame. +##' @param meta environment. +##' @return recursive list of chunk file names. +##' @author Toby Dylan Hocking +saveChunks <- function(x, meta){ + if(is.data.frame(x)){ + this.i <- meta$chunk.i + csv.name <- sprintf("%s_chunk%d.tsv", meta$g$classed, this.i) + write.table(x, file.path(meta$out.dir, csv.name), quote=FALSE, + row.names=FALSE, sep="\t") + meta$chunk.i <- meta$chunk.i + 1L + this.i + }else if(is.list(x)){ + lapply(x, saveChunks, meta) + }else{ + str(x) + stop("unknown object") + } +} diff --git a/man/getCommonChunk.Rd b/man/getCommonChunk.Rd index ce60f0e7a..7aa64740b 100644 --- a/man/getCommonChunk.Rd +++ b/man/getCommonChunk.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{getCommonChunk} \alias{getCommonChunk} \title{Save the common columns for each tsv to one chunk} diff --git a/man/saveChunks.Rd b/man/saveChunks.Rd index 1e694871a..fb0797bd1 100644 --- a/man/saveChunks.Rd +++ b/man/saveChunks.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{saveChunks} \alias{saveChunks} \title{Split data set into chunks and save them to separate files.} diff --git a/man/split.x.Rd b/man/split.x.Rd index 83eebbfd5..6ee1a5d8f 100644 --- a/man/split.x.Rd +++ b/man/split.x.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{split.x} \alias{split.x} \title{Split data.frame into recursive list of data.frame.} diff --git a/man/varied.chunk.Rd b/man/varied.chunk.Rd index 4c27f6a4f..17ac91f02 100644 --- a/man/varied.chunk.Rd +++ b/man/varied.chunk.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/animint.R +% Please edit documentation in R/animintHelpers.R \name{varied.chunk} \alias{varied.chunk} \title{Extract subset for each data.frame in a list of data.frame} From 0198619d1580484b82f0d6f7660208f892de1346 Mon Sep 17 00:00:00 2001 From: faizan Date: Thu, 25 May 2017 19:18:15 +0530 Subject: [PATCH 26/42] do not need makeDocs anymore --- NAMESPACE | 1 - R/doc.R | 82 ------------------------------------------------- man/makeDocs.Rd | 20 ------------ 3 files changed, 103 deletions(-) delete mode 100644 R/doc.R delete mode 100644 man/makeDocs.Rd diff --git a/NAMESPACE b/NAMESPACE index 9fcff89b2..015424147 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -9,7 +9,6 @@ export(getLegendList) export(gg2animint) export(is.rgb) export(knit_print.animint) -export(makeDocs) export(make_bar) export(make_tallrect) export(make_tallrect_or_widerect) diff --git a/R/doc.R b/R/doc.R deleted file mode 100644 index 03819218a..000000000 --- a/R/doc.R +++ /dev/null @@ -1,82 +0,0 @@ -##' Make documentation web site. -##' @param doc.dir containing example subdirectories. -##' @return nothing. -##' @author Toby Dylan Hocking -##' @export -##' -makeDocs <- function(doc.dir){ - viz.path <- Sys.glob(file.path(doc.dir, "*", "viz.R")) - sub.dirs <- dirname(viz.path) - Rmd.tmp.file <- file.path(doc.dir, "template.Rmd") - Rmd.tmp.lines <- readLines(Rmd.tmp.file) - Rmd.template <- paste(Rmd.tmp.lines, collapse="\n") - owd <- getwd() - on.exit(setwd(owd)) - base <- basename(sub.dirs) - n.vars <- n.interactive <- name.vars <- name.interactive <- - rep(NA, length(base)) - animated <- rep("no", length(base)) - for(sub.dir.i in seq_along(sub.dirs)){ - sub.dir <- sub.dirs[[sub.dir.i]] - setwd(sub.dir) - ##print(sub.dir) - vizLines <- readLines("viz.R") - vizCode <- paste(vizLines, collapse="\n") - descLines <- tryCatch({ - readLines("description.md") - },error=function(e){ - "There should be an interactive animation above." - }) - desc <- paste(descLines, collapse="\n") - Rmd.filled <- sub("DESCRIPTION", desc, sub("VIZ", vizCode, Rmd.template)) - ##Rmd.filled <- sub("VIZ", vizCode, Rmd.template) - writeLines(Rmd.filled, "viz.Rmd") - convert.cmd <- "convert big.png -geometry 200 small.png" - system(convert.cmd) - knitr::knit2html("viz.Rmd") - meta <- RJSONIO::fromJSON("plot.json") - aes.list <- lapply(meta$geoms, "[[", "aes") - i.aes <- c("clickSelects", "showSelected", "showSelected2", "showSelected3") - ivars <- sapply(aes.list, "[", i.aes) - uniq <- function(x){ - y <- unique(as.vector(unlist(x))) - not.na <- !is.na(y) - not.trivial <- !y %in% c("x", "y", "label", "xmin", "xmax", "") - not.derived <- !grepl("interaction", y) - y[not.na & not.trivial & not.derived] - } - uivars <- uniq(ivars) - uvars <- uniq(aes.list) - n.interactive[[sub.dir.i]] <- length(uivars) - n.vars[[sub.dir.i]] <- length(uvars) - name.interactive[[sub.dir.i]] <- paste(uivars, collapse=", ") - name.vars[[sub.dir.i]] <- paste(uvars, collapse=", ") - if(!is.null(meta$time)){ - animated[[sub.dir.i]] <- "yes" - } - setwd(owd) - } - ## Now setup the index. - tr.tmp <- - paste('
', - '%s', - '
%s%d%s%d%s