So another answer, outside a loop : use a child process.
library(shiny)
library(parallel)
#
# reactive variables
#
rVal <- reactiveValues()
rVal$process <- NULL
rVal$msg <- NULL
rVal$obs <- NULL
counter <- 0
results <- list()
dfEmpty <- data.frame(results = numeric(0))
#
# Long computation
#
analyze <- function() {
out <- lapply(1:5, function(x) {
Sys.sleep(1)
rnorm(1)
})
data.frame(results = unlist(out))
}
#
# Shiny app
#
shinyApp(
ui = fluidPage(
column(6,
wellPanel(
tags$label("Press start and wait 5 seconds for the process to finish"),
actionButton("start", "Start", class = "btn-primary"),
actionButton("stop", "Stop", class = "btn-danger"),
textOutput('msg'),
tableOutput('result')
)
),
column(6,
wellPanel(
sliderInput(
"inputTest",
"Shiny is responsive during computation",
min = 10,
max = 100,
value = 40
),
plotOutput("testPlot")
))),
server = function(input, output, session)
{
#
# Add something to play with during waiting
#
output$testPlot <- renderPlot({
plot(rnorm(input$inputTest))
})
#
# Render messages
#
output$msg <- renderText({
rVal$msg
})
#
# Render results
#
output$result <- renderTable({
print(rVal$result)
rVal$result
})
#
# Start the process
#
observeEvent(input$start, {
if (!is.null(rVal$process))
return()
rVal$result <- dfEmpty
rVal$process <- mcparallel({
analyze()
})
rVal$msg <- sprintf("%1$s started", rVal$process$pid)
})
#
# Stop the process
#
observeEvent(input$stop, {
rVal$result <- dfEmpty
if (!is.null(rVal$process)) {
tools::pskill(rVal$process$pid)
rVal$msg <- sprintf("%1$s killed", rVal$process$pid)
rVal$process <- NULL
if (!is.null(rVal$obs)) {
rVal$obs$destroy()
}
}
})
#
# Handle process event
#
observeEvent(rVal$process, {
rVal$obs <- observe({
invalidateLater(500, session)
isolate({
result <- mccollect(rVal$process, wait = FALSE)
if (!is.null(result)) {
rVal$result <- result
rVal$obs$destroy()
rVal$process <- NULL
}
})
})
})
}
)
edit
See also :
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