handler_dipsaus_progress | R Documentation |
Handler for progress2
to support
progressr::handlers
. See examples for detailed use case
handler_dipsaus_progress(
title = getOption("dipsaus.progressr.title", "Progress"),
intrusiveness = getOption("progressr.intrusiveness.gui", 1),
target = if (is.null(shiny::getDefaultReactiveDomain())) "terminal" else "gui",
enable = interactive() || shiny_is_running(),
...
)
title |
default title of |
intrusiveness |
A non-negative scalar on how intrusive (disruptive) the reporter to the user |
target |
where progression updates are rendered |
enable |
whether the progress should be reported |
... |
passed to |
library(progressr)
library(shiny)
library(future)
## ------------------------------ Setup! -------------------------------
handlers(handler_dipsaus_progress())
# ------------------------------ A simple usage ------------------------
xs <- 1:5
handlers(handler_dipsaus_progress())
with_progress({
p <- progressor(along = xs)
y <- lapply(xs, function(x) {
p(sprintf("x=%g", x))
Sys.sleep(0.1)
sqrt(x)
})
})
# ------------------------ A future.apply case -------------------------
plan(sequential)
# test it yourself with plan(multisession)
handlers(handler_dipsaus_progress())
with_progress({
p <- progressor(along = xs)
y <- future.apply::future_lapply(xs, function(x) {
p(sprintf("x=%g", x))
Sys.sleep(0.1)
sqrt(x)
})
})
# ------------------------ A shiny case --------------------------------
ui <- fluidPage(
actionButton('ok', 'Run Demo')
)
server <- function(input, output, session) {
handlers(handler_dipsaus_progress())
make_forked_clusters()
observeEvent(input$ok, {
with_progress({
p <- progressor(along = 1:100)
y <- future.apply::future_lapply(1:100, function(x) {
p(sprintf("Input %d|Result %d", x, x+1))
Sys.sleep(1)
x+1
})
})
})
}
if(interactive()){
shinyApp(ui, server)
}
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