Shiny App checkboxInput and conditionalPanel

Question

I am new to ShinyApp.

I want to use a checkboxInput() with conditionalPanel, so when it\'s checked, the options for Type will show up (then users can select a Type from

Answer 1

OK, you can classify conditional inputs in two categories.

1) Inputs that depend on the ui.R (in your case the checkboxInput)

2) Inputs that depend on the server.R (not necessary in your example)

Solutions:

1) you can easily solve with a renderUI() function, see the example below.

If you really want 2), you would need a conditionalPanel and you would use a reactive function in the server.R, that you save in an output object and access it with small JS-snippet in the ui.R. For me it looks like 1) is enough for you, if I am mistaken, let me know then we adapt the answer to solve 2).

A hint:

As a default your "checkbox" input takes the boolean value: false. So you would not render the "typeInput" (until you click "checkbox"). So up to that point "typeInput" is null. However, if you now make dependencies on "typeInput" shiny will be confused, since "typeInput" is not rendered and therefore does not exist. So before using "typeInput", you should check, whether it is available: if(!is.null(input$typeInput)) otherwise shiny will complain that you actually do not have a "typeinput" in your app (again: at least until you click "checkbox").

ui <- fluidPage(
  titlePanel("BC Liquor Store prices"),
  img(src = "BCLS.png",align = "right"),
  sidebarLayout(
    sidebarPanel(sliderInput("priceInput", "Price", 0, 100, c(25, 40), pre = "$"),

                 wellPanel(
                   checkboxInput("checkbox", "Filter by Type", FALSE),
                   uiOutput("conditionalInput")
                 ),

                 uiOutput("countryOutput")

    ),
    mainPanel(
      tabsetPanel(
        tabPanel("Plot", plotOutput("coolplot")), 
        tabPanel("Summary", verbatimTextOutput("summary")), 
        tabPanel("Table", tableOutput("results"))
      )
    )
  )
)

server <- function(input, output, session) {
  output$countryOutput <- renderUI({
    selectInput("countryInput", "Country",
                sort(unique(bcl$Country)),
                selected = "CANADA")
  })  

  output$conditionalInput <- renderUI({
    if(input$checkbox){
      selectInput("typeInput", "Product type",
                  choices = c("BEER", "REFRESHMENT", "SPIRITS", "WINE"),
                  selected = "WINE")
    }
  })

  filtered <- reactive({
    if (is.null(input$countryInput)) {
      return(NULL)
    }    

    bcl %>%
      filter(Price >= input$priceInput[1],
             Price <= input$priceInput[2],
             Type == input$typeInput,
             Country == input$countryInput
      )
  })

  output$coolplot <- renderPlot({
    if (is.null(filtered())) {
      return()
    }
    filtered() %>% ggvis(~Alcohol_Content, fill := "#fff8dc") %>% 
      layer_histograms(width = 1, center = 0)
  })

  output$results <- renderTable({
    filtered()
  })
}

# run the app
shinyApp(ui = ui, server = server)