Fix a bunch of eval false/true inconsistencies

html/data-visualization.qmd

@@ -297,7 +297,6 @@ Visualize a stat by changing the default stat of a geom function, `geom_bar(stat
 Use `after_stat(name)` syntax to map the stat variable `name` to an aesthetic.
 
 ```{r}
-#| eval: false
 i + stat_density_2d(aes(fill = after_stat(level)), geom = "polygon")
 ```
 
@@ -355,13 +354,12 @@ Override defaults with **scales** package.
 To change a mapping, add a new scale.
 
 ```{r}
-#| eval: false
 n <- d + geom_bar(aes(fill = fl))
 
 n + scale_fill_manual(
-  value = c(),
-  limits = c(), 
-  breaks = c(),
+  values = c("skyblue", "royalblue", "blue", "navy"),
+  limits = c("d", "e", "p", "r"),
+  breaks =c("d", "e", "p", "r"),
   name = "fuel", 
   labels = c("D", "E", "P", "R")
 )
@@ -484,7 +482,6 @@ s <- ggplot(mpg, aes(fl, fill = drv))
 Each position adjustment can be recast as a function with manual `width` and `height` arguments:
 
 ```{r}
-#| eval: false
 s + geom_bar(position = position_dodge(width = 1))
 ```
 
@@ -508,12 +505,11 @@ s + geom_bar(position = position_dodge(width = 1))
 
 -   `u + theme()`: Customize aspects of the theme such as axis, legend, panel, and facet properties.
 
-    ```{r}
-    #| eval: false
-    r + ggtitle("Title") + theme(plot.title.postion = "plot")
+```{r}
+u + labs(title = "Title") + theme(plot.title.position = "plot")
         
-    r + theme(panel.background = element_rect(fill = "blue"))
-    ```
+u + theme(panel.background = element_rect(fill = "blue"))
+```
 
 ## Faceting
 

html/keras.qmd

@@ -46,8 +46,6 @@ The keras R package uses the Python keras library.
 You can install all the prerequisites directly from R: <https://tensorflow.rstudio.com/install>.
 
 ```{r}
-#| eval: false
-
 library(keras)
 install_keras()
 ```

html/reticulate.qmd

@@ -265,8 +265,6 @@ Or, if you like, you can convert manually with
     Also `iter_next()` and `as_iterator()`.
 
     ```{r}
-    #| eval: false
-
     iterate(iter, print)
     ```
 
@@ -296,8 +294,6 @@ Or, if you like, you can convert manually with
     Also `py_set_attr()`, `py_has_attr()`, and `py_list_attributes()`.
 
     ```{r}
-    #| eval: false
-
     py_get_attr(x)
     ```
 
@@ -306,8 +302,6 @@ Or, if you like, you can convert manually with
 -   `py_help(object)`: Open the documentation page for a Python object.
 
     ```{r}
-    #| eval: false
-
     py_help(sns)
     ```
 
@@ -322,8 +316,6 @@ Or, if you like, you can convert manually with
     Also `py_load_object()`.
 
     ```{r}
-    #| eval: false
-
     py_save_objects(x, "x.pickle")
     ```
 
@@ -405,8 +397,6 @@ Then suggest your instance to reticulate.
 -   `install_python(version, list = FALSE, force = FALSE)`: Download and install Python.
 
     ```{r}
-    #| eval: false
-
     install_python("3.9.16")
     ```
 
@@ -496,8 +486,6 @@ Otherwise, to choose an instance of Python to bind to, reticulate scans the inst
         Undo with `Sys.unsetenv()`.
 
         ```{r}
-        #| eval: false
-
         Sys.setenv(RETICULATE_PYTHON = "/usr/local/bin/python")
         ```
 
@@ -507,24 +495,18 @@ Otherwise, to choose an instance of Python to bind to, reticulate scans the inst
     -   `use_python(python, required = FALSE)`: Suggest a Python binary to use by path.
 
         ```{r}
-        #| eval: false
-
         use_python("usr/local/bin/python")
         ```
 
     -   `use_virtualenv(virtualenv = NULL, required = FALSE)`: Suggest a Python virtualenv
 
         ```{r}
-        #| eval: false
-
         use_virtualenv("~/myenv")
         ```
 
     -   `use_condaenv(condaenv = NULL, conda = "auto", required = FALSE)`: Suggest a conda env to use.
 
         ```{r}
-        #| eval: false
-
         use_condaenv(condaenv = "r-nlp", conda = "/opt/anaconda3/bin/conda")
         ```
 

html/shiny-python.qmd

@@ -8,6 +8,7 @@ execute:
 ---
 
 ```{r}
+#| eval: true
 #| output: asis
 #| echo: false
 #| column: margin

html/shiny.qmd

@@ -3,12 +3,13 @@ title: "Shiny for R :: Cheatsheet"
 description: " "
 image-alt: ""
 execute:
-  eval: true
+  eval: false
   output: false
   warning: true
 ---
 
 ```{r}
+#| eval: true
 #| output: asis
 #| echo: false
 #| column: margin
@@ -46,8 +47,6 @@ Launch apps stored in a directory with `runApp(<path to directory>)`.
 To generate the template, type `shinyApp` and press `Tab` in the RStudio IDE or go to **File \> New Project \> New Directory \> Shiny Application**.
 
 ```{r}
-#| eval: false
-
 # app.R 
 library(shiny)
 
@@ -188,8 +187,6 @@ Call a reactive value from within the arguments of one of these functions to avo
 -   `*Input()` functions: Each input function creates a reactive value stored as `input$<inputId>`.
 
     ```{r}
-    #| eval: false
-
     # *Input() example
     ui <- fluidPage(
       textInput("a","","A")
@@ -201,8 +198,6 @@ Call a reactive value from within the arguments of one of these functions to avo
     `reactiveValues(...)`: Creates a list of reactive values whose values you can set.
 
     ```{r}
-    #| eval: false
-
     # reactiveVal example
     server <- function(input,output){
       rv <- reactiveValues() 
@@ -225,8 +220,6 @@ Call a reactive value from within the arguments of one of these functions to avo
     Call the expression with function syntax, e.g. `re()`.
 
     ```{r}
-    #| eval: false
-
     library(shiny)
 
     ui <- fluidPage(
@@ -252,8 +245,6 @@ Call a reactive value from within the arguments of one of these functions to avo
 -   `eventReactive(eventExpr, valueExpr, event.env, event.quoted, value.env, value.quoted, ..., label, domain, ignoreNULL, ignoreInit)`: Creates reactive expression with code in 2nd argument that only invalidates when reactive values in 1st argument change.
 
     ```{r}
-    #| eval: false
-
     library(shiny)
 
     ui <- fluidPage(
@@ -279,8 +270,6 @@ Call a reactive value from within the arguments of one of these functions to avo
     Save the results to `output$<outputId>`.
 
     ```{r}
-    #| eval: false
-
     library(shiny)
 
     ui <- fluidPage(
@@ -306,8 +295,6 @@ Call a reactive value from within the arguments of one of these functions to avo
     Alternative to ``` observe``() ```.
 
     ```{r}
-    #| eval: false
-
     library(shiny)
 
     ui <- fluidPage(textInput("a","","A"), actionButton("go","Go"))
@@ -327,8 +314,6 @@ Call a reactive value from within the arguments of one of these functions to avo
     Returns a **non-reactive** copy of the results.
 
     ```{r}
-    #| eval: false
-
     library(shiny)
 
     ui <- fluidPage(
@@ -353,7 +338,6 @@ An app's UI is an HTML document.
 Use Shiny's functions to assemble this HTML with R.
 
 ```{r}
-#| eval: false
 fluidPage(
   textInput("a","")
 )
@@ -380,8 +364,6 @@ The most common tags have wrapper functions.
 You do not need to prefix their names with `tags$`.
 
 ```{r}
-#| eval: false
-
 ui <- fluidPage(
   h1("Header 1"), # <h1>Header 1</h1>
   hr(), # <hr>
@@ -401,8 +383,6 @@ To include a CSS file, use `includeCSS()`, or
 2.  Link to it with:
 
     ```{r}
-    #| eval: false
-
     tags$head(
       tags$link(
         rel = "stylesheet", 
@@ -419,8 +399,6 @@ To include JavaScript, use `includeScript()`, or
 2.  Link to it with:
 
     ```{r}
-    #| eval: false
-
     tags$head(tags$script(src = "<file name>"))
     ```
 
@@ -431,8 +409,6 @@ To include an image:
 2.  Link to it with:
 
     ```{r}
-    #| eval: false
-
     img(src = "<file name>")
     ```
 
@@ -497,8 +473,6 @@ Also dynamically update nav containers with `nav_select()`, `nav_insert()`, `nav
 Use the **bslib** package to add existing themes to your Shiny app ui, or make your own.
 
 ```{r}
-#| eval: false
-
 library(bslib)
 ui <- fluidPage(
   theme = bs_theme(
@@ -513,8 +487,6 @@ ui <- fluidPage(
 Build your own theme by customizing individual arguments.
 
 ```{r}
-#| eval: false
-
 bs_theme(
   bg = "#558AC5",
   fg = "#F9B02D",
@@ -536,6 +508,7 @@ Updated: `r format(Sys.Date(), "%Y-%m")`.
 
 ```{r}
 #| output: true
+#| eval: true
 
 packageVersion("shiny")
 ```

html/sparklyr.qmd

@@ -9,6 +9,7 @@ execute:
 ---
 
 ```{r}
+#| eval: true
 #| output: asis
 #| echo: false
 #| column: margin