example/server.R

library(shiny)

# Define server logic for random distribution application
shinyServer(function(input, output) {
    
    # Reactive expression to generate the requested distribution. This is 
    # called whenever the inputs change. The renderers defined 
    # below then all use the value computed from this expression
    
    output$checkbox <- renderText({
        input$checkbox
    })
    
    output$switch_out <- renderText({
        input$switch_in
    })
    
    data <- reactive({  
        dist <- switch(input$dist,
                       norm = rnorm,
                       unif = runif,
                       lnorm = rlnorm,
                       exp = rexp,
                       rnorm)
        
        dist(input$n)
    })
    
    # Generate a plot of the data. Also uses the inputs to build the 
    # plot label. Note that the dependencies on both the inputs and
    # the 'data' reactive expression are both tracked, and all expressions 
    # are called in the sequence implied by the dependency graph
    output$plot <- renderPlot({
        dist <- input$dist
        n <- input$n
        
        hist(data(), 
             main=paste('r', dist, '(', n, ')', sep=''))
    })
    
    # Generate a summary of the data
    output$summary <- renderPrint({
        summary(data())
    })
    
    # Generate an HTML table view of the data
    output$table <- renderTable({
        data.frame(x=data())
    })
})
metagraf/sparkle documentation built on May 22, 2019, 7:49 p.m.