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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
65 lines
1.5 KiB
R
65 lines
1.5 KiB
R
library(shiny)
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# Define UI for dataset viewer app ----
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ui <- fluidPage(
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# App title ----
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titlePanel("Shiny Text"),
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# Sidebar layout with a 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: Selector for choosing dataset ----
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selectInput(inputId = "dataset",
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label = "Choose a dataset:",
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choices = c("rock", "pressure", "cars")),
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# Input: Numeric entry for number of obs to view ----
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numericInput(inputId = "obs",
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label = "Number of observations to view:",
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value = 10)
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),
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# Main panel for displaying outputs ----
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mainPanel(
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# Output: Verbatim text for data summary ----
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verbatimTextOutput("summary"),
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# Output: HTML table with requested number of observations ----
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tableOutput("view")
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)
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)
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)
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# Define server logic to summarize and view selected dataset ----
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server <- function(input, output) {
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# Return the requested dataset ----
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datasetInput <- reactive({
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switch(input$dataset,
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"rock" = rock,
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"pressure" = pressure,
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"cars" = cars)
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})
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# Generate a summary of the dataset ----
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output$summary <- renderPrint({
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dataset <- datasetInput()
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summary(dataset)
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})
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# Show the first "n" observations ----
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output$view <- renderTable({
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head(datasetInput(), n = input$obs)
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})
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}
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# Create Shiny app ----
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shinyApp(ui = ui, server = server)
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