Compiling R code, and speed up your computation

May 5, 2012

(This article was first published on chem-bla-ics, and kindly contributed to R-bloggers)

I just ran into this interesting post on the R-bloggers Planet. The described R functionality allows you to compile R code (to byte code) so that it will no longer be interpreted but actually run. That is a performance boost. I guess in due time we will see R use JIT technologies, so that the difference will disappear, but for now, a good thing to know about. Here are the numbers from that post:

> system.time( myFunction() )
   user  system elapsed 
 10.002   0.014  10.021 
> system.time( myCompiledFunction() )
   user  system elapsed 
  0.692   0.008   0.700 

Compiling a function seems pretty easy, and I will give that a try soon, but not today:

> library(compiler)
> myCompiledFunction <- cmpfun(myFunction)

Thanx to Måns at Uppsala University 🙂

To leave a comment for the author, please follow the link and comment on their blog: chem-bla-ics. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


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)