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 August:
http://bit.ly/dmLWj0 noted that R had a key role in the US
government's reaction to the BP oil spill, as related by the
Statistical Engineering division chief at NIST.
http://bit.ly/bFdlXq linked to an example of creating an animation in
Google Earth based on spatial data from R.
http://bit.ly/aPTqvV reviewed more of Drew Conway's analysis of the
Wikileaks Afghanistan data (which was also mentioned in Wired).
http://bit.ly/bC5Deh looked at Ryan Elmore's analysis of MLB data: are
baseball games getting longer, or just the Red Sox's?
http://bit.ly/dpstqN reported that New Scientist magazine uses R to
illustrate and analyze data for some of its stories.
http://bit.ly/bmMSS5 is a paean to reproducible science with R (with a
link to video of F. Leisch's keynote talk on the topic).
http://bit.ly/cFblG3 gave a quick review of talks at useR! 2010, and
linked to videos of the outstanding keynote talks.
http://bit.ly/9niQmc showed how extreme was the recent heatwave in
Russia with a smoothScatter chart.
http://bit.ly/bP5kUu reviews videos of two talks at the NYC R user
grope on parallelism and big data analysis in R.
http://bit.ly/biWA12 linked to an R analysis by the Mozilla team on
the use of the private browsing feature in Firefox.
http://bit.ly/axy0PP listed a handy table of functions for working
with probability distributions in R.
http://bit.ly/agKreO congratulated R creators Robert and Ross, winners
of the 2010 ASA Statistical Computing award.
http://bit.ly/cYs61S announced the RevoScaleR package for big data
analysis in Revolution R Enterprise (and available free of charge to
academics: http://bit.ly/cavSLB). Slides from a webinar introducing
RevoScaleR are also available: http://bit.ly/aMjDzl
http://bit.ly/bC2PV6 linked to an analysis in R, looking at the
posting rate of veterans of Hacker News versus new members.
http://bit.ly/cMJguw linked to a (nonscientific) poll suggesting that
many SAS users are considering a switch to R.
http://bit.ly/9KF5Hl announced a Twitter feed for R links created by
Harsh Singhal.
http://bit.ly/abGpQq listed some upcoming online courses in R from
statistics.com.
http://bit.ly/bEeuIU noted new online certificate courses in
computational finance with R at the University of Washington.
There are new R user groups in Portland, Oregon
(http://bit.ly/aJjiTR), Singapore (http://bit.ly/b3wR9A),
Raleigh-Durham (http://bit.ly/cQzKMX), Seoul (http://bit.ly/dCRTTr),
Denver (http://bit.ly/dCRTTr) .
Other non-R-related stories in the past month included: how analytics
is a hot career choice (http://bit.ly/cH8wQk), the Palin effect on the
US presidency (http://bit.ly/bifQmy), how sewing machines work
(http://bit.ly/9xwGd8) and (on a lighter note) jumping foxes
(http://bit.ly/deay72).
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)
