Staying up with R

January 13, 2012
By

(This article was first published on statMethods blog, and kindly contributed to R-bloggers)

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?


To leave a comment for the author, please follow the link and comment on his blog: statMethods blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: 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.