Removing white space around R figures

[This article was first published on Hyndsight » R, 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.

When I want to insert figures generated in R into a LaTeX document, it looks better if I first remove the white space around the figure. Unfortunately, R does not make this easy as the graphs are generated to look good on a screen, not in a document.

There are two things that can be done to fix this problem.

First, you can reduce the white space generated by R. I use the following function when saving figures in R.

savepdf <- function(file, width=16, height=10)
{
  fname <- paste("figures/",file,".pdf",sep="")
  pdf(fname, width=width/2.54, height=height/2.54,
      pointsize=10)
  par(mgp=c(2.2,0.45,0), tcl=-0.4, mar=c(3.3,3.6,1.1,1.1))
}

The width and height are in centimetres. The ratio is about right for a beamer presentation, and also to fit two figures on an A4 page.

Then I use the commands

savepdf("filename")
# Plotting commands here
dev.off()

That will generate a pdf figure of about the right size and shape for a document, and with narrow margins of white space, and save it in my figures sub-directory.

The second trick is to trim the pdf files so there is no white space left. On a unix system, this is easily achieved as follows.

pdfcrop filename.pdf filename.pdf

There are probably windows and mac versions of the same, but I haven’t used them. Adobe Acrobat will also crop pdfs, but not from the command line as far as I know.

To apply pdfcrop to every file in a directory (using unix), save the following to a file called cropall.sh:

#!/bin/bash
 
for FILE in ./*.pdf; do
  pdfcrop "${FILE}" "${FILE}"
done

Make the file executable and run it.

In my post on Makefiles, I explain how to include pdfcrop within a Makefile.

If you just use pdfcrop without first reducing the white space in R, the proportions come out a little odd. So I tend to use both approaches together.

To leave a comment for the author, please follow the link and comment on their blog: Hyndsight » R.

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.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)