Files
shiny/inst/examples/08_html/app.R
Mine Cetinkaya-Rundel d7391b19bc Convert examples to single file apps (#1685)
* - 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
2017-07-11 14:20:01 -05:00

48 lines
1.3 KiB
R

library(shiny)
# Define server logic for random distribution app ----
server <- function(input, output) {
# Reactive expression to generate the requested distribution ----
# This is called whenever the inputs change. The output functions
# defined below then use the value computed from this expression
d <- 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 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$n
hist(d(),
main = paste("r", dist, "(", n, ")", sep = ""),
col = "#75AADB", border = "white")
})
# Generate a summary of the data ----
output$summary <- renderPrint({
summary(d())
})
# Generate an HTML table view of the head of the data ----
output$table <- renderTable({
head(data.frame(x = d()))
})
}
# Create Shiny app ----
shinyApp(ui = htmlTemplate("www/index.html"), server)