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.
In case you missed them, here are some articles related to R from the
month of April:
The Heritage Health Prize, a competition to build predictive models
for hospitalization with USD$3.2M in prizes, is open:
http://bit.ly/k7JWNx
The Inside-R.org community site now provides the ability to search and
view the help files for CRAN packages: http://bit.ly/kQ3M2F
Revolution R Enterprise 4.3 released: R engine updated to 2.12.2 and
new features in RevoScaleR package. Free download for academics.
http://bit.ly/iwMDn5
An overview of the functions in the RevoScaleR package for big-data
model inference: http://bit.ly/lvUdg0
A review of the Journal of Statistical Software, vol 40: http://bit.ly/jnAxoA
What's new in R 2.13.0, and some benchmarks of the new byte-compiler
feature: http://bit.ly/l26Ym3
Slides, references and replay for a webinar on using the PMML
model-deployment standard with R: http://bit.ly/mlnQVT
Predictive modeling competition site Kaggle reports that over half of
competition winners use R. Also, Revolution R Enterprise is now
available free of charge for Kaggle competitors: http://bit.ly/iDlBFg
R is listed in a ComputerWorld feature on "22 free tools for data
visualization and analysis": http://bit.ly/k8w0Vc
How to load the tracking data from your iPhone into R: http://bit.ly/lKA2y6
The blog Milktrader features useful examples of financial data
analysis in R: http://bit.ly/irfm9J
A SAS blog shows how to make 3-D graphics from SAS data ... using the
"cloud" function in R: http://bit.ly/jHCEnR
Analyst firm Gartner says "R is not only the tool of choice but the
ideal environment for advanced analysis" and names Revolution
Analytics a "Cool Vendor": http://bit.ly/kTN8lV
Other non-R-related stories in the past month included: the origin of
the aphorism, "The plural of anecdote is not data" -- or is it?
(http://bit.ly/lg7XuB); P-values, multiple comparisons, and jellybeans
(http://bit.ly/imx1Q3); visualizing tax brackets
(http://bit.ly/lLmQSc) and an infographic on how taxes are spent
(http://bit.ly/knMqmw); browsing the San Andreas Fault
(http://bit.ly/lMHumV); 250 years of Bayes' Theorem
(http://bit.ly/leAHxd) and gardening with Gamma rays
(http://bit.ly/lbvGNw).
There are new R user groups (http://bit.ly/eC5YQe) in St Louis, MO
(http://bit.ly/mrNvIX) and Giessen, Germany (http://bit.ly/jtEvl1).
Meeting times for these groups can be found on the updated R Community
Calendar at: http://bit.ly/bb3naW
If you're looking for more articles about R, you can find summaries
from previous months at http://bit.ly/9hotnN . Join the Revolution
mailing list at http://bit.ly/bsJSer 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) 646-9523 (Palo Alto, CA, USA)
