# Multiple progress bars

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**jean-robert.github.com**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

It is pretty easy to monitor the progress of a long loop in R using the original txtProgressBar function in the utils package.

It works like this:

mypb <- txtProgressBar() m <- sapply(1:1000, function(x) { setTxtProgressBar(mypb, x/1000) mean(rnorm(x)) }) close(mypb)

You could even get a GUI-type output using tkProgressBar from the tcltk package, or winProgressBar.

Or you could build your own. The solution lies in three lines of code:

plot.progress <- function(percent) { plot(c(0,100), c(0,1), type='n', xlab='', ylab='', yaxt='n') rect(0, 0.1, percent*100, 0.9, col='blue') title(paste('Progress: ', round(percent*100,2), '%', sep='')) } plot.progress(0.8711)

What is more interesting is that you can now easily handle multiple progress bars at once, which can prove quite useful when you have embedded loops.

plot.progress <- function(...) { vectOfBar <- c(...)*100 numOfBar <- length(vectOfBar) plot(c(0,100), c(0,numOfBar), type='n', xlab='', ylab='', yaxt='n', mar=c(3,3,3,3)) for(i in 1:numOfBar) { rect(0, 0.1+i-1, vectOfBar[i], 0.9+i-1, col=rainbow(numOfBar)[i]) text(0.5, 0.5+i-1, paste('Status ', i, ': ', round(vectOfBar[i],2), '%', sep=''), adj=0) } title('Progress...') } plot.progress(0.7543, 0.6918, 0.3454)

To

**leave a comment**for the author, please follow the link and comment on their blog:**jean-robert.github.com**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.