[R] Revolutions Blog: May Roundup

[David Smith]

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.

http://bit.ly/dn7DgR linked to 13 videos for learning R, from the
basics ("What is R?") to more advanced topics.

http://bit.ly/cJUhiY noted the release of R 2.11.1.

http://bit.ly/d53tvn announced that Revolution Analytics makes its
software available free of charge to the academic community.

http://bit.ly/9xCQ83 noted how statistical inference was used to
accurately estimate German tank forces in WWII, and linked to an R
simulation to verify the calculation.

http://bit.ly/b5puKD announced a new website for the R community,
www.inside-R.org, sponsored by Revolution Analytics.

http://bit.ly/9r85bd linked to a video of economist JD Long explaining
why he uses R.

http://bit.ly/cySMgE linked to Jeromy Anglim's explanation of the
abbreviated names of 150 R functions.

http://bit.ly/cEceU8 announced a webinar I gave, Introduction to
Revolution R. The live event has passed now, but you can download
slides and watch a replay at this link.

http://bit.ly/brs2s2 recapped some recent news articles mentioning R
and Revolution, in Forbes, The Register, PC World and elsewhere.

http://bit.ly/9UDgOL linked to an analysis in R on predicting the
outcome of a series of baseball games.

http://bit.ly/bJYW9v linked to some materials from the CloudAsia
conference on parallel computing in R for life sciences.

http://bit.ly/dfb4PA provided a tip on keeping the console window
active in the R Productivity Environment GUI.

http://bit.ly/aeHO7B announced a webinar on integrating R-based graphs
and computations with business intelligence dashboards. (The live
event has passed, but you can download slides and a replay at this
link.)

http://bit.ly/dqr1hc linked to another method of mapping your Twitter
social network with R.

http://bit.ly/bVI6e9 linked to a video by JD Long on using the Amazon
Elastic Map-Reduce system to run large-scale map-reduce calculations
in the cloud with R.

http://bit.ly/auZ7N8 announced Revolution Analytic's development
roadmap for 2010.

There are new R user groups in Boston (http://bit.ly/cHedm0) and
Atlanta (http://bit.ly/aVo1cI). Also, http://bit.ly/a82GAf noted the
list of local R User Groups worldwide at MeetUp.com, and how you can
request a new group in your area.

Other non-R-related stories in the past month included Google's new
BigQuery and Prediction API tools (http://bit.ly/bfEeLm), the effects
of volcanic ash on a modern city (http://bit.ly/9qWfQf) and (on a
lighter note) the dating equation (http://bit.ly/9LR28N) and a neat,
practical optical illusion (http://bit.ly/dsmyov).

The R Community Calendar has also been updated at:
http://blog.revolutionanalytics.com/calendar.html

If you're looking for more articles about R, you can find summaries
from previous months at http://blog.revolutionanalytics.com/roundups/.
Join the REvolution mailing list at
http://revolutionanalytics.com/newsletter to be alerted to new
articles on a monthly basis.

As always, thanks for the comments and please keep sending suggestions
to me at david at revolutionanalytics.com . 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).

Cheers,
# David

--
David M Smith <david at revolutionanalytics.com>
VP of Marketing, Revolution Analytics  http://blog.revolutionanalytics.com
Tel: +1 (650) 330-0553 x205 (Palo Alto, CA, USA)