tabsetPanel: Create a tabsetPanel

In bs4Dash: A 'Bootstrap 4' Version of 'shinydashboard'

Create a tabsetPanel

Description

Imported by bs4TabCard but can be used alone. This is a modified shiny::tabsetPanel, to handle bootstrap 4. This function will be upgraded starting from shiny 1.7.0 (support Bootstrap 4 tabs).

Usage

tabsetPanel(
  ...,
  id = NULL,
  selected = NULL,
  type = c("tabs", "pills", "hidden"),
  vertical = FALSE,
  side = "left",
  .list = NULL
)

Arguments

...	tabPanel() elements to include in the tabset
id	If provided, you can use ⁠input$⁠id in your server logic to determine which of the current tabs is active. The value will correspond to the value argument that is passed to tabPanel().
selected	The value (or, if none was supplied, the title) of the tab that should be selected by default. If NULL, the first tab will be selected.
type	'"tabs"' Standard tab look '"pills"' Selected tabs use the background fill color
vertical	Whether to displays tabs vertically. Default to FALSE.
side	Tabs side: "left" or "right".
.list	In case of programmatically generated items. See example.

Author(s)

David Granjon, [e-mail]

Examples

if(interactive()){
 library(shiny)
 library(bs4Dash)

 shinyApp(
   ui = dashboardPage(
    header = dashboardHeader(),
    sidebar = dashboardSidebar(),
    controlbar = dashboardControlbar(),
    footer = dashboardFooter(),
    title = "Bootstrap 4 tabsetPanel",
    body = dashboardBody(
     # manually inserted panels
     tabsetPanel(
      id = "tabcard",
      tabPanel(
       title = "Tab 1", 
       "Content 1"
      ),
      tabPanel(
       title = "Tab 2", 
       "Content 2"
      ),
      tabPanel(
       title = "Tab 3", 
       "Content 3"
      )
     ),
     
     br(), br(),
     # programmatically inserted panels
     tabsetPanel(
       id = "tabset",
       .list = lapply(1:3, function(i) {
         tabPanel(
           title = paste0("Tab", i), 
           active = FALSE,
           paste("Content", i)
         )
       })
      )
    )
   ),
   server = function(input, output) {}
 )
 
 # update tabsetPanel
 shinyApp(
  ui = dashboardPage(
   title = "updateTabsetPanel",
   header = dashboardHeader(),
   body = dashboardBody(
     tabsetPanel(
       id = "tabset1",
       selected = "Tab 2",
       tabPanel(
         title = "Tab 1", 
         numericInput("val", "Value:", 10, min = 1, max = 100),
         verbatimTextOutput("value")
       ),
       tabPanel(
         title = "Tab 2", 
         "Content 2"
       ),
       tabPanel(
         title = "Tab 3", 
         checkboxGroupInput(
           inline = TRUE,
           "variable", "Variables to show:",
           c("Cylinders" = "cyl",
             "Transmission" = "am",
             "Gears" = "gear")
         ),
         tableOutput("data")
       )
     ),
     uiOutput("tabSetPanel2")
   ),
   sidebar = dashboardSidebar(
     skin = "light",
     sliderInput(
       inputId = "controller",
       label = "Update the first tabset",
       min = 1,
       max = 3,
       value = 2
     ),
     br(),
     sliderInput(
       inputId = "controller2",
       label = "Update the second tabset",
       min = 1,
       max = 3,
       value = 3
     )
   ),
   controlbar = dashboardControlbar(collapsed = FALSE),
   footer = dashboardFooter()
 ),
 server = function(input, output, session) {
 
   output$tabSetPanel2 <- renderUI({
    tabsetPanel(
      id = "tabset2",
      tabPanel(
        title = "Tab 1", 
        p("Tab 1 ")
      ),
      tabPanel(
        title = "Tab 2", 
        p("Tab 2")
      ),
      tabPanel(
        title = "Tab 3", 
        p("Tab 3")
      )
    )
   })
   
   # update tabset1
   observeEvent(input$controller, {
     updateTabsetPanel(
       session, 
       inputId = "tabset1", 
       selected = paste("Tab", input$controller)
     )
   }, ignoreInit = TRUE)
   
   # update tabset 2
   observeEvent(input$controller2, {
     updateTabsetPanel(
       session, 
       inputId = "tabset2", 
       selected = paste("Tab", input$controller2)
     )
   }, ignoreInit = TRUE)
   
   output$distPlot <- renderPlot({
     hist(rnorm(input$obs))
   })
   
   output$data <- renderTable({
     mtcars[, c("mpg", input$variable), drop = FALSE]
   }, rownames = TRUE)
   
   output$txt <- renderText({
     paste("You chose", input$rb)
   })
   
   output$value <- renderText({ input$val })
   
  }
 )
}

bs4Dash documentation built on Sept. 11, 2024, 8:46 p.m.