No, I don’t mean late night coding. R is constantly changing – both as a language and a platform. Updates containing new functionality are frequent. New and revised packages appear several times a week. Staying current with these myriad changes can be a challenge.
In this post, I thought that I would share some of the online resources that I have found to be most useful for keeping current with what is happening in world of R.
Of course the R project homepage (www.r-project.org) and the Comprehensive R Archive Network (CRAN; cran.r-project.org) are your first stops for all things R.
CRANberries (dirk.eddelbuettel.com/cranberries/) is a site that aggregates information about new and updated packages, and contains links to CRAN for each.
Planet R (planetr.stderr.org) is a great site aggregor, and includes information from a wide range of sources (including CRANberries). This is my first stop for staying up on new packages.
R Bloggers (www.r-bloggers.com) is a central hub (blog aggregator) for collecting content from bloggers writing about R. It contains several new articles each day and I am addicted to it. It is a great place to learn new analytic and programming techniques.
The R Journal (journal.r-project.org) is a freely accessible refereed journal containing articles on the R project and contributed packages. This is a great way to gain deeper insight into what specific packages can do.
The Journal of Statistical Software (www.jstatsoft.org) is also a freely accessbile refereed journal and contains articles, book reviews, and code snippets on statistical computing topics. There are frequent articles about R.
Finally, R-Help, the main R mailing list (stat.ethz.ch/mailman/listinfo/r-help), is the best place to ask questions about R. Be sure to read the FAQ before posting or you may get flamed by veteran programmers. The archives are searchable and contain a wealth of information.
These are my favorites – the ones I go back to again and again. What are yours?

I am working out Dr Kabakoff’s R in Action. On page 153, the book refers to a package called gmodels but I can’t find it anywhere. Can anyone help?
Got it!