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 October:
Reviews of the winners and finalists of the 2010 ggplot2 case study
competition: http://bit.ly/ckJxHZ
We have published a new article "R is Hot", with interviews from a
dozen R users in industry and academia: http://bit.ly/d7rZI9
A new code highlighting tool for displaying R code on the web:
http://bit.ly/bra4ap
A white paper and video describing how an anomaly in the 2000 US
Census data is revealed using the RevoScaleR package:
http://bit.ly/dzFXgk
A suggestion for a workflow for R projects to promote transparency,
maintainability, modularity, portability, reproducibility and
efficiency: http://bit.ly/bopvbR
A video of using the "code snippets" feature in the Revolution R IDE
to insert templates of R code: http://bit.ly/dgJ7aR
A new competition to build a predictive model to identify popular R
packages in CRAN: http://bit.ly/cL9NI7
A profile of Rhipe (Hadoop/R integration) author and new Revolution
employee Saptarshi Guha: http://bit.ly/9k7ABg .
Saptarshi Guha's presentation at Hadoop World on using Rhipe to
analyze VOIP quality data was profiled in the SD Times:
http://bit.ly/a81qdy
A lattice chart illustrates the impact of the new Google Instant on
paid search: http://bit.ly/cSi7d8
Improvements in R 2.12.0, released on October 15: http://bit.ly/9nti8L
Three upcoming R courses from Statistics.com: http://bit.ly/a1Xbdo
R is nominated for (http://bit.ly/cZUl99) and wins
(http://bit.ly/9PdD5C) a major Open Source award in New Zealand.
An article in InfoWorld notes that R is "a programming language on the
rise": http://bit.ly/aLLdU9
O'Reilly has published a "Rough Cuts" preview of the forthcoming
"R
Cookbook" by Paul Teetor: http://bit.ly/cUC5da
Revolution Analytics names Lee Edlefsen as Chief Scientist: http://bit.ly/a9b7zc
Other non-R-related stories in the past month included the Data
Science Venn Diagram (http://bit.ly/d5AzgN), busting gay stereotypes
with data analysis (http://bit.ly/aRza7H), World Statistics Day
(http://bit.ly/agxfjO), Arthur C Clarke's uncanny predictions from
1964, an article in the NYT about the language of Statistics
(http://bit.ly/cMpCXH), SAS's battle against open source
(http://bit.ly/abP8sz), and a Tufte map of the US economic stimulus.
On a lighter note, we had: why we should get rid of pennies
(http://bit.ly/avS0TJ), the M?bius Bagel (http://bit.ly/clPLCm), and a
groan-worthy Physics pun (http://bit.ly/bzGOjY).
There are new R user groups in Toronto (http://bit.ly/bWhJyw), Houston
(http://bit.ly/c0XFGp) and Cincinnati/Dayton (http://bit.ly/97FpZx).
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).
# David Smith
--
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)
