A lightweight package that adds progress bar to vectorized R functions
(*apply
). The implementation can easily be added to functions where showing the progress is
useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options.
The package supports snow-type clusters and multicore-type forking
(see overview here).
Install CRAN release version (recommended):
install.packages("pbapply")
Development version:
if (!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("psolymos/pbapply")
See user-visible changes in the NEWS file.
Use the issue tracker to report a problem, or to suggest a new feature.
There are two ways of adding the pbapply package to another package.
Add pbapply to the Suggests field in the DESCRIPTION
.
Use a conditional statement in your code to fall back on a base function in case of pbapply not installed:
out <- if (requireNamespace("pbapply", quietly = TRUE)) {
pbapply::pblapply(X, FUN, ...)
} else {
lapply(X, FUN, ...)
}
See a small example package here.
Add pbapply to the Depends or Imports field in the DESCRIPTION
.
Use the pbapply functions either as pbapply::pblapply()
or specify them in the NAMESPACE
(importFrom(pbapply, pblapply)
) and
use it as pblapply()
(without the ::
).
Specify the progress bar options in the zzz.R
file of the package:
.onAttach <- function(libname, pkgname){
options("pboptions" = list(
type = if (interactive()) "timer" else "none",
char = "-",
txt.width = 50,
gui.width = 300,
style = 3,
initial = 0,
title = "R progress bar",
label = "",
nout = 100L,
min_time = 2))
invisible(NULL)
}
This will set the options and pbapply will not override when loaded.
See a small example package here.
Suppressing the progress bar is sometimes handy. By default, progress bar is suppressed when !interactive()
.
In other instances, put this inside a function:
pbo <- pboptions(type = "none")
on.exit(pboptions(pbo), add = TRUE)
library(pbapply)
set.seed(1234)
n <- 2000
x <- rnorm(n)
y <- rnorm(n, model.matrix(~x) %*% c(0,1), sd=0.5)
d <- data.frame(y, x)
## model fitting and bootstrap
mod <- lm(y~x, d)
ndat <- model.frame(mod)
B <- 500
bid <- sapply(1:B, function(i) sample(nrow(ndat), nrow(ndat), TRUE))
fun <- function(z) {
if (missing(z))
z <- sample(nrow(ndat), nrow(ndat), TRUE)
coef(lm(mod$call$formula, data=ndat[z,]))
}
## standard '*apply' functions
# system.time(res1 <- lapply(1:B, function(i) fun(bid[,i])))
# user system elapsed
# 1.096 0.023 1.127
system.time(res2 <- sapply(1:B, function(i) fun(bid[,i])))
# user system elapsed
# 1.152 0.017 1.182
system.time(res3 <- apply(bid, 2, fun))
# user system elapsed
# 1.134 0.010 1.160
system.time(res4 <- replicate(B, fun()))
# user system elapsed
# 1.141 0.022 1.171
## 'pb*apply' functions
## try different settings:
## "none", "txt", "tk", "win", "timer"
op <- pboptions(type="timer") # default
system.time(res1pb <- pblapply(1:B, function(i) fun(bid[,i])))
# |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% ~00s
# user system elapsed
# 1.539 0.046 1.599
pboptions(op)
pboptions(type="txt")
system.time(res2pb <- pbsapply(1:B, function(i) fun(bid[,i])))
# |++++++++++++++++++++++++++++++++++++++++++++++++++| 100%
# user system elapsed
# 1.433 0.045 1.518
pboptions(op)
pboptions(type="txt", style=1, char="=")
system.time(res3pb <- pbapply(bid, 2, fun))
# ==================================================
# user system elapsed
# 1.389 0.032 1.464
pboptions(op)
pboptions(type="txt", char=":")
system.time(res4pb <- pbreplicate(B, fun()))
# |::::::::::::::::::::::::::::::::::::::::::::::::::| 100%
# user system elapsed
# 1.427 0.040 1.481
pboptions(op)