Create a Bootstrap 386 radio buttons

Create a Bootstrap 386 radio buttons

Usage

radio_input_386(
  inputId,
  label,
  choices = NULL,
  selected = NULL,
  width = NULL,
  choiceNames = NULL,
  choiceValues = NULL
)

Arguments

inputId

The input slot that will be used to access the value.

label

Display label for the control, or NULL for no label.

choices

List of values to select from (if elements of the list are named then that name rather than the value is displayed to the user). If this argument is provided, then choiceNames and choiceValues must not be provided, and vice-versa. The values should be strings; other types (such as logicals and numbers) will be coerced to strings.

selected

The initially selected value. If not specified, then it defaults to the first item in choices. To start with no items selected, use character(0).

width

The width of the input, e.g. '400px', or '100%'; see validateCssUnit().

choiceNames, choiceValues

List of names and values, respectively, that are displayed to the user in the app and correspond to the each choice (for this reason, choiceNames and choiceValues must have the same length). If either of these arguments is provided, then the other must be provided and choices must not be provided. The advantage of using both of these over a named list for choices is that choiceNames allows any type of UI object to be passed through (tag objects, icons, HTML code, ...), instead of just simple text. See Examples.

Examples

if (interactive()) {
 library(shiny)
 library(shiny386)

 ui <- page_386(
  radio_input_386("dist", "Distribution type:",
                  c("Normal" = "norm",
                    "Uniform" = "unif",
                    "Log-normal" = "lnorm",
                    "Exponential" = "exp")),
  plotOutput("distPlot")
 )

 server <- function(input, output, session) {
   output$distPlot <- renderPlot({
     dist <- switch(input$dist,
                    norm = rnorm,
                    unif = runif,
                    lnorm = rlnorm,
                    exp = rexp,
                    rnorm)

     hist(dist(500))
   })
 }
 shinyApp(ui, server)

}