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d7391b19bc
* - Convert all example apps to single file app.R file - Make relevant updates to Readmes to match up with app.R structure - Add color to plots (RStudio blue) - In 04_mpg example: Show outliers by default, as opposed to hide, since this is more routine - In 06_tabsets and 08_html examples: Don't name random data vector "data" - Add extensive comments to app.R files and use consistent formatting of comments across examples - In 09_upload example: Use req() to check for NULL entry * add news entry summarizing changes * use true RStudio blue, #75AADB * Conver shinyApp calls at the end to drop argument name in examples 3-11, except for the custom HTML example. Kept them in for examples 1&2 for completeness in first exporuse to function. * Pull news items that got added before this PR was merged * Update comment for shinyApp function -- it creates an app object, doesn't run the app
64 lines
1.3 KiB
R
64 lines
1.3 KiB
R
library(shiny)
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# Define UI for data download app ----
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ui <- fluidPage(
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# App title ----
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titlePanel("Downloading Data"),
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# Sidebar layout with input and output definitions ----
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sidebarLayout(
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# Sidebar panel for inputs ----
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sidebarPanel(
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# Input: Choose dataset ----
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selectInput("dataset", "Choose a dataset:",
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choices = c("rock", "pressure", "cars")),
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# Button
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downloadButton("downloadData", "Download")
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),
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# Main panel for displaying outputs ----
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mainPanel(
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tableOutput("table")
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)
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)
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)
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# Define server logic to display and download selected file ----
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server <- function(input, output) {
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# Reactive value for selected dataset ----
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datasetInput <- reactive({
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switch(input$dataset,
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"rock" = rock,
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"pressure" = pressure,
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"cars" = cars)
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})
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# Table of selected dataset ----
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output$table <- renderTable({
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datasetInput()
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})
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# Downloadable csv of selected dataset ----
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output$downloadData <- downloadHandler(
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filename = function() {
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paste(input$dataset, ".csv", sep = "")
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},
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content = function(file) {
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write.csv(datasetInput(), file, row.names = FALSE)
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}
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)
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}
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# Create Shiny app ----
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shinyApp(ui, server)
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