Merge e9ccb68 into dcd8214

DESCRIPTION

@@ -21,7 +21,7 @@ URL: https://insightsengineering.github.io/rlistings/,
     https://github.com/insightsengineering/rlistings/
 BugReports: https://github.com/insightsengineering/rlistings/issues
 Depends:
-    formatters (>= 0.5.8),
+    formatters (>= 0.5.8.9006),
     methods,
     tibble (>= 2.0.0)
 Imports:
@@ -39,7 +39,8 @@ Suggests:
     testthat (>= 3.1.5),
     withr (>= 2.0.0)
 VignetteBuilder:
-    knitr
+    knitr,
+    rmarkdown
 Config/Needs/verdepcheck: insightsengineering/formatters,
     tidyverse/tibble, mllg/checkmate, tidyverse/dplyr, yihui/knitr,
     r-lib/lifecycle, rstudio/rmarkdown, gagolews/stringi, r-lib/testthat,

tests/testthat/setup.R

@@ -1,5 +1,3 @@
-library(dplyr)
-
 anl <- ex_adsl
 anl <- anl[1:10, c("USUBJID", "ARM", "BMRKR1")]
 anl <- var_relabel(anl,

tests/testthat/test-export.R

@@ -8,6 +8,8 @@ testthat::test_that("Listing print correctly", {
 })
 
 testthat::test_that("key columns repeat with export_as_txt", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
   # pre-processing and ordering
   tmp_data <- ex_adae %>%
     dplyr::slice(1:30) %>%

tests/testthat/test-matrix_form.R

@@ -1,4 +1,7 @@
 testthat::test_that("matrix_form keeps relevant information and structure about the listing", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
+
   my_iris <- iris %>%
     slice(c(16, 3)) %>%
     mutate("fake_rownames" = c("mean", "mean"))

tests/testthat/test-paginate_listing.R

@@ -1,4 +1,7 @@
 testthat::test_that("pagination works vertically", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
+
   # pre-processing and ordering
   tmp_data <- ex_adae %>%
     dplyr::slice(1:30) %>%
@@ -22,6 +25,9 @@ testthat::test_that("pagination works vertically", {
 })
 
 testthat::test_that("horizontal pagination with 0 or 1 key column specified works correctly", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
+
   # pre-processing and ordering
   tmp_data <- ex_adae %>%
     dplyr::slice(1:30) %>%
@@ -84,6 +90,9 @@ testthat::test_that("horizontal pagination with 0 or 1 key column specified work
 })
 
 testthat::test_that("listing works with no vertical pagination", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
+
   # pre-processing and ordering
   tmp_data <- ex_adae %>%
     dplyr::slice(1:30) %>%
@@ -104,6 +113,9 @@ testthat::test_that("listing works with no vertical pagination", {
 })
 
 testthat::test_that("checking vertical pagination line calculation.", {
+  skip_if_not_installed("dplyr")
+  require("dplyr", quietly = TRUE)
+
   # pre-processing and ordering
   tmp_data <- ex_adae %>%
     dplyr::slice(1:30) %>%

vignettes/col_formatting.Rmd

@@ -10,9 +10,16 @@ vignette: >
 ---
 
 ```{r, include = FALSE}
+suggested_dependent_pkgs <- c("dplyr")
 knitr::opts_chunk$set(
   collapse = TRUE,
-  comment = "#>"
+  comment = "#>",
+  eval = all(vapply(
+    suggested_dependent_pkgs,
+    requireNamespace,
+    logical(1),
+    quietly = TRUE
+  ))
 )
 ```
 
@@ -46,10 +53,11 @@ The `default_formatting` argument can use the same format configuration for all
 
 To demonstrate, we will create a basic listing below and customize formatting using the `default_formatting` parameter.
 
-We begin by loading in the `rlistings` package. 
+We begin by loading in the `rlistings` package.
 
 ```{r, message=FALSE}
 library(rlistings)
+require(dplyr)
 ```
 
 For this example, we will use the dummy ADAE dataset provided within the `formatters` package as our data frame, which consists of 48 columns of adverse event patient data, and one or more rows per patient. For the purpose of this example, we will subset the data and only use the first 15 records of the dataset. We will create some `NA` values in the data to showcase how `NA` values can be formatted, and sort the data by what will be our key columns.
@@ -140,7 +148,7 @@ In the output above, the `all` format configuration, which originally applied to
 
 ## Column-Wise Formatting in `as_listing`
 
-In this section, we will demonstrate how custom formatting can be applied on a column-by-column basis rather than to all columns of a specified data class or an entire listing at once. 
+In this section, we will demonstrate how custom formatting can be applied on a column-by-column basis rather than to all columns of a specified data class or an entire listing at once.
 
 Take, for example, `lsting_4` created in the previous section.
 

vignettes/ref_footnotes.Rmd

@@ -10,9 +10,16 @@ vignette: >
 ---
 
 ```{r, include = FALSE}
+suggested_dependent_pkgs <- c("dplyr")
 knitr::opts_chunk$set(
   collapse = TRUE,
-  comment = "#>"
+  comment = "#>",
+  eval = all(vapply(
+    suggested_dependent_pkgs,
+    requireNamespace,
+    logical(1),
+    quietly = TRUE
+  ))
 )
 ```
 
@@ -32,10 +39,11 @@ When creating a listing with the `rlistings` package, you may want to add refere
 
 To demonstrate, we will create a basic listing below.
 
-We begin by loading in the `rlistings` package. 
+We begin by loading in the `rlistings` package.
 
 ```{r, message=FALSE}
 library(rlistings)
+library(dplyr)
 ```
 
 For this example, we will use the dummy ADAE dataset provided within the `formatters` package as our data frame, which consists of 48 columns of adverse event patient data, and one or more rows per patient. For the purpose of this example, we will subset the data and only use the first 30 records of the dataset.
@@ -97,7 +105,7 @@ lsting <- as_listing(
 lsting
 ```
 
-Additional referential footnotes can be added to the data be repeating the above steps. 
+Additional referential footnotes can be added to the data be repeating the above steps.
 
 For example, we can add the second referential footnote to the `ASTDY` column for imputed analysis start days. We use dummy variable `ASTDTF` to indicate imputed analysis start dates. When adding referential footnotes to numeric variables, the variables must be converted to factors.