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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
76 lines
1.9 KiB
R
76 lines
1.9 KiB
R
library(shiny)
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library(datasets)
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# Data pre-processing ----
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# Tweak the "am" variable to have nicer factor labels -- since this
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# doesn't rely on any user inputs, we can do this once at startup
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# and then use the value throughout the lifetime of the app
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mpgData <- mtcars
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mpgData$am <- factor(mpgData$am, labels = c("Automatic", "Manual"))
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# Define UI for miles per gallon app ----
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ui <- fluidPage(
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# App title ----
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titlePanel("Miles Per Gallon"),
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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: Selector for variable to plot against mpg ----
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selectInput("variable", "Variable:",
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c("Cylinders" = "cyl",
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"Transmission" = "am",
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"Gears" = "gear")),
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# Input: Checkbox for whether outliers should be included ----
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checkboxInput("outliers", "Show outliers", TRUE)
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),
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# Main panel for displaying outputs ----
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mainPanel(
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# Output: Formatted text for caption ----
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h3(textOutput("caption")),
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# Output: Plot of the requested variable against mpg ----
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plotOutput("mpgPlot")
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)
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)
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)
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# Define server logic to plot various variables against mpg ----
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server <- function(input, output) {
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# Compute the formula text ----
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# This is in a reactive expression since it is shared by the
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# output$caption and output$mpgPlot functions
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formulaText <- reactive({
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paste("mpg ~", input$variable)
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})
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# Return the formula text for printing as a caption ----
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output$caption <- renderText({
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formulaText()
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})
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# Generate a plot of the requested variable against mpg ----
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# and only exclude outliers if requested
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output$mpgPlot <- renderPlot({
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boxplot(as.formula(formulaText()),
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data = mpgData,
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outline = input$outliers,
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col = "#75AADB", pch = 19)
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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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