[R] Revolutions blog: November roundup

[David M Smith]

I write about R every weekday at the Revolutions blog:
http://blog.revolution-computing.com .

In case you missed them, here are some articles from last month of
particular interest to R users.

http://bit.ly/un680 demonstrated reader Paul Bleicher's code for
visualizing a time series as a heat-map calendar.

http://bit.ly/5fgis0 and http://bit.ly/mepBH showed (with thanks to
Drew Conway) how to use R to perform social network analysis on live
data from Twitter.

http://bit.ly/KKvSA challenged the R community to recreate an
unemployment map created in Python in R. The results
(http://bit.ly/11Qve9) were outstanding, and also inspired a similar
look at unemployment in Germany (http://bit.ly/2Mywrq).

http://bit.ly/4nKQ0w showcased a Brazilian open-government website
created by Eduardo Leoni that relies heavily on R.

Several media outlets this month looked at the impact of R and IBM's
acquisition of SPSS on SAS: Information Management
(http://bit.ly/5Qu5mp and http://bit.ly/8VT03b), the New York Times
(http://bit.ly/5TRQBi), and Business Week (http://bit.ly/54OoNE).

http://bit.ly/8hUr9u related how R graphics were used to illustrate an
analysis of the US healthcare reform politics in the New York Times.

http://bit.ly/3sM5kQ reviewed R's presence at a data-mining
"unconference" in the Bay Area.

http://bit.ly/3MZn0r showed how easy it is to install ESS on Ubuntu
Linux, for a more productive environment for programming in R.

http://bit.ly/6ajtBu looked at some of the unique features of R's
function-call semantics.

http://bit.ly/7UNSbl was a tongue-in-cheek comparison of Hadoop and R.

http://bit.ly/1uxU3w announced REvolution Computing's "R Productivity
Environment", an IDE for R on Windows.

http://bit.ly/1Qxp9P shares the slides from the Introduction to R talk
I have to a Linux User Group in Davis (CA), and some links for R
beginners.

http://bit.ly/uZRtS linked to a simple analysis of scores from the
game Canabalt.

Other non-R-specific stories in the last month covered: floating-point
errors (http://bit.ly/3UU4SJ), Stochasticity on the radio
(http://bit.ly/4NpvRN), breast cancer screening
(http://bit.ly/8Y01rs), the Mythbusters (http://bit.ly/8dd3Uz) and on
the lighter side: the connection between Tufte and Lord of the Rings
(http://bit.ly/5G6o31), a new way of looking at Choose Your Own
Adventure books (http://bit.ly/1unnsO), and the Reimann Hypothesis
(http://bit.ly/87ieTX).

(I've provided short URLs above because many mailers break the long
direct URLs.)

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

You can find summaries of older postings here:
http://blog.revolution-computing.com/roundups/

As always, thanks for the comments and please keep sending suggestions
to me at david at revolution-computing.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 to all,
# David Smith

--
David M Smith <david at revolution-computing.com>
VP of Marketing, REvolution Computing  http://blog.revolution-computing.com
Tel: +1 (206) 577-4778 x3203 (Palo Alto, CA, USA)

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