radioButtons: Create radio buttons

Description Usage Arguments Details Value See Also Examples

View source: R/input-radiobuttons.R

Description

Create a set of radio buttons used to select an item from a list.

Usage

1
2
radioButtons(inputId, label, choices, selected = NULL, inline = FALSE,
  width = 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)

selected

The initially selected value (if not specified then defaults to the first value)

inline

If TRUE, render the choices inline (i.e. horizontally)

width

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

Details

If you need to represent a "None selected" state, it's possible to default the radio buttons to have no options selected by using selected = character(0). However, this is not recommended, as it gives the user no way to return to that state once they've made a selection. Instead, consider having the first of your choices be c("None selected" = "").

Value

A set of radio buttons that can be added to a UI definition.

See Also

updateRadioButtons

Other input.elements: actionButton, checkboxGroupInput, checkboxInput, dateInput, dateRangeInput, fileInput, numericInput, passwordInput, selectInput, sliderInput, submitButton, textInput

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
## Only run examples in interactive R sessions
if (interactive()) {

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

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

    hist(dist(500))
  })
}

shinyApp(ui, server)
}

ymd526442121/Rproject_shiny documentation built on May 4, 2019, 5:31 p.m.