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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
60 lines
1.4 KiB
R
60 lines
1.4 KiB
R
library(shiny)
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# Define UI for app that draws a histogram ----
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ui <- fluidPage(
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# App title ----
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titlePanel("Hello Shiny!"),
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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: Slider for the number of bins ----
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sliderInput(inputId = "bins",
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label = "Number of bins:",
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min = 1,
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max = 50,
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value = 30)
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),
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# Main panel for displaying outputs ----
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mainPanel(
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# Output: Histogram ----
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plotOutput(outputId = "distPlot")
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)
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)
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)
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# Define server logic required to draw a histogram ----
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server <- function(input, output) {
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# Histogram of the Old Faithful Geyser Data ----
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# with requested number of bins
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# This expression that generates a histogram is wrapped in a call
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# to renderPlot to indicate that:
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#
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# 1. It is "reactive" and therefore should be automatically
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# re-executed when inputs (input$bins) change
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# 2. Its output type is a plot
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output$distPlot <- renderPlot({
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x <- faithful$waiting
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bins <- seq(min(x), max(x), length.out = input$bins + 1)
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hist(x, breaks = bins, col = "#75AADB", border = "white",
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xlab = "Waiting time to next eruption (in mins)",
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main = "Histogram of waiting times")
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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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