Description Usage Arguments Server value Note See Also Examples
Creates an action button or link whose value is initially zero, and increments by one each time it is pressed.
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inputId |
The 'input' slot that will be used to access the value. |
label |
The contents of the button or link–usually a text label, but you could also use any other HTML, like an image. |
icon |
An optional [icon()] to appear on the button. |
width |
The width of the input, e.g. ''400px'‘, or '’100 see [validateCssUnit()]. |
... |
Named attributes to be applied to the button or link. |
status |
Button status color. Valid statuses are defined as follows:
|
gradient |
Whether to apply gradient to color. Default to FALSE. |
outline |
Whether to display an outline style. Status must not be NULL if TRUE. Default to FALSE. |
size |
Button size. Default to NULL. Possible choices: |
flat |
Whether to apply a flat style. Default to FALSE. |
An integer of class '"shinyActionButtonValue"'. This class differs from ordinary integers in that a value of 0 is considered "falsy". This implies two things: * Event handlers (e.g., [observeEvent()], [eventReactive()]) won't execute on initial load. * Input validation (e.g., [req()], [need()]) will fail on initial load.
One may also pass the status directly via the ... parameter using class = "btn-primary"
,
for the primary status for instance. Same thing for other styles like the size.
[observeEvent()] and [eventReactive()]
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 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | ## Only run examples in interactive R sessions
if (interactive()) {
library(shiny)
library(bs4Dash)
shinyApp(
ui = dashboardPage(
header = dashboardHeader(
title = bs4DashBrand(
title = "My dashboard",
color = "primary",
src = "https://adminlte.io/themes/v3",
image = "https://adminlte.io/themes/v3/dist/img/AdminLTELogo.png"
)
),
sidebar = dashboardSidebar(),
body = dashboardBody(
sliderInput("obs", "Number of observations", 0, 1000, 500),
actionButton(
"goButton", "Go!",
status = "danger",
outline = TRUE,
flat = TRUE,
size = "lg"
),
plotOutput("distPlot")
),
controlbar = dashboardControlbar(),
title = "DashboardPage"
),
server = function(input, output) {
output$distPlot <- renderPlot({
# Take a dependency on input$goButton. This will run once initially,
# because the value changes from NULL to 0.
input$goButton
# Use isolate() to avoid dependency on input$obs
dist <- isolate(rnorm(input$obs))
hist(dist)
})
}
)
}
## Example of adding extra class values
actionButton("largeButton", "Large Primary Button", class = "btn-primary btn-lg")
|
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