I have a shiny app that runs a simulation. The goal is to show the user the calculation steps in between as a plot.
How do I force shiny to update the plot?
An MWE would look like this
library(shiny)
server <- function(input, output, session) {
# base plot as a placeholder
output$myplot <- renderPlot(plot(1:1, main = "Placeholder"))
# wait until the button is triggered
observeEvent(input$run, {
print("Do some calculations in 3 steps")
for (i in seq_len(3)) {
print("Do some calculations")
# ...
x <- seq_len(i * 100)
y <- (x + 1)^2 - 1 # this will do for now
print("Plot the data ")
# ISSUE HERE!
# this should render the current step of the simulation, instead it
# renders only after the whole code is run (i.e., after step 3)
output$myplot <- renderPlot(plot(x, y, main = sprintf("Round %i", i), type = "l"))
print("Wait for 1 second for the user to appreciate the plot...")
Sys.sleep(1)
}
})
}
ui <- fluidPage(
actionButton("run", "START"),
plotOutput("myplot")
)
shinyApp(ui = ui, server = server)
The issue is, that shiny runs the code and produces one plot at the end of the simulation, however, I want to get a plot at each simulation step (displayed for at least one second).
Any help/hint is greatly appreciated.
I have looked at this post, but replacing the text with a plot/renderPlot doesn't yield the correct results.
You could nest an observer into an observeEvent to make it work. Based on Jeff Allen's code from the SO topic you linked.
Crucial part:
observeEvent(input$run, {
rv$i <- 0
observe({
isolate({
rv$i <- rv$i + 1
})
if (isolate(rv$i) < maxIter){
invalidateLater(2000, session)
}
})
})
Full code:
library(shiny)
server <- function(input, output, session) {
rv <- reactiveValues(i = 0)
maxIter <- 3
output$myplot <- renderPlot( {
if(rv$i > 0) {
x <- seq_len(rv$i * 100)
y <- (x + 1)^2 - 1 # this will do for now
plot(x, y, main = sprintf("Round %i", rv$i), type = "l")
} else {
plot(1:1, main = "Placeholder")
}
})
observeEvent(input$run, {
rv$i <- 0
observe({
isolate({
rv$i <- rv$i + 1
})
if (isolate(rv$i) < maxIter){
invalidateLater(2000, session)
}
})
})
}
ui <- fluidPage(
actionButton("run", "START"),
plotOutput("myplot")
)
shinyApp(ui = ui, server = server)
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