I write about R every weekday at the Revolutions blog:
http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month
of particular interest to readers of r-help.
By the way, you might have noticed that we've changed our name to
Revolution Analytics from Revolution Computing. You can read about the
motivation for the change, and our plans for new products around R, by
downloading the document at:
http://www.revolutionanalytics.com/roadmap . Also, if you'd like to
learn more about Revolution and our products I'll be giving a public
webinar on May 20, details here: http://bit.ly/cQgXxn
Anyway, here are the highlights from the blog from last month:
http://bit.ly/dwIvSb announced the availability of Revolution R
Community 3.2 (based on R 2.10.1), now 100% open source, and including
a new doMC package for parallel computing on Windows.
http://bit.ly/d53tvn announced that Revolution R Enterprise is now
available free of charge to everyone in the academic community.
http://bit.ly/b5puKD announced inside-R.org, a new community site for
R sponsored by Revolution Analytics.
http://bit.ly/axdWPO linked to a video of Dirk Eddelbuettel's
presentation on calling C++ from R with Rcpp and Rinside.
http://bit.ly/aWpctN linked to slides from my recent High-Performance
Analytics webinar, with examples of using "foreach" for parallel
programming on clusters (specifically, Microsoft HPC Server).
http://bit.ly/9W4vXd reported how Benetech uses R to analyze complex
political and human-rights issues. The same post also recaps a talk by
"R in a Nutshell" author Joe Adler on measuring performance of R
http://bit.ly/9Ux3DT recounted a storm on the blogosphere that erupted
when a SAS consultant took issue with R being called "the next big
http://bit.ly/bWlrmf noted that StackOverflow now includes over 1000 R
questions, and links to a post on optimizing the performance of R for
reading and writing text files.
http://bit.ly/9fmIb3 shares an anecdote from Red Monk analyst Steve
O'Grady on why he decided to learn R.
As always, thanks for the comments and please keep sending suggestions
to me at [hidden email] . Don't forget you can also
follow the blog using an RSS reader like Google Reader, or by
following me on Twitter (I'm @revodavid).