Creates a reactive timer with the given interval. A reactive timer is like a reactive value, except reactive values are triggered when they are set, while reactive timers are triggered simply by the passage of time.
reactiveTimer(intervalMs = 1000, session = getDefaultReactiveDomain())
intervalMs | How often to fire, in milliseconds |
---|---|
session | A session object. This is needed to cancel any scheduled
invalidations after a user has ended the session. If |
A no-parameter function that can be called from a reactive context,
in order to cause that context to be invalidated the next time the timer
interval elapses. Calling the returned function also happens to yield the
current time (as in base::Sys.time()
).
Reactive expressions and observers that want to be
invalidated by the timer need to call the timer function that
reactiveTimer
returns, even if the current time value is not actually
needed.
See invalidateLater()
as a safer and simpler alternative.
## Only run examples in interactive R sessions if (interactive()) { ui <- fluidPage( sliderInput("n", "Number of observations", 2, 1000, 500), plotOutput("plot") ) server <- function(input, output) { # Anything that calls autoInvalidate will automatically invalidate # every 2 seconds. autoInvalidate <- reactiveTimer(2000) observe({ # Invalidate and re-execute this reactive expression every time the # timer fires. autoInvalidate() # Do something each time this is invalidated. # The isolate() makes this observer _not_ get invalidated and re-executed # when input$n changes. print(paste("The value of input$n is", isolate(input$n))) }) # Generate a new histogram each time the timer fires, but not when # input$n changes. output$plot <- renderPlot({ autoInvalidate() hist(rnorm(isolate(input$n))) }) } shinyApp(ui, server) }