[R] Revolutions Blog: March Roundup

David Smith david at revolutionanalytics.com
Tue Apr 12 01:57:07 CEST 2011

I write about R every weekday at the Revolutions blog:
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 March:

The doSMP package, which enables parallel processing for R on
multiprocessor machine, is now available on CRAN: http://bit.ly/gTS7BJ

The Offensive Politics blog provided R code used to make a map of
precinct returns in the Chicago mayoral election: http://bit.ly/fon0BJ

A connector to integrate R output into JasperReports with RevoDeployR
is now available: http://bit.ly/ftkIFy

The Iowa State Department of Statistics used R to analyze distribution
of stimulus funds, and has an interesting look at some of the errors
in the source data: http://bit.ly/hc4q4E

The Rexer Analytics Data Miner Survey reports that R is the most
commonly-used tool amongst surveyed data miners: http://bit.ly/gD9nmD

We cross-posted an essay by Revolution Analytics CEO Norman Nie, Keep
an Eye on the Open-Source Analytics Stack:

Baseball batting averages provide an instructive lesson on checking
your assumptions for T-tests:

We're looking for nominations for R community members to be profiled
in the "R-Files" series on the Revolutions blog: http://bit.ly/h3YCXg

R 2.13.0 is scheduled for release on April 13: http://bit.ly/fq1OBt

Sherry LaMonica of the Revolution Analytics engineering team reviews
the functions in the RevoScaleR package for Big Data:

Amanda Cox presented at the New Your R User Group on how the New York
Times uses R for visualization, and you can watch it on video:

Revolution Analytics announces a partnership with Netezza, to bring R
to the TwinFin data warehouse appliance: http://bit.ly/dTuIqD

Register your opinions about open-source software in the 2011 Future
of Open Source Survey: http://bit.ly/dZG5Oy

Robert Muenchen has updated his analysis of popularity of data
analysis software, featuring R: http://bit.ly/ekM5bv

Tech news site The Register publishes a profile of Revolution
Analytics: http://bit.ly/fBeeWP

Joseph Rickert shares an example of building a model in R and
exporting it to PMML for use with ADAPA: http://bit.ly/e8LGAN

Violins of volatility provide a novel way of visualizing financial
volatility: http://bit.ly/hkFzpe

Revolution Analytics chief scientist Lee Edlefsen is interviewed at
the Structure Big Data Conference in this five-minute video:

Other non-R-related stories in the past month included: Heritage
Health and Kaggle have launched a 2-year competition with $3.2M in
prizemoney for predicting hospitalization from health data
(http://bit.ly/eH29nJ) and flying by Saturn without CGI
(http://bit.ly/hXzKvQ). On a lighter note, there also was:
successively upgrading every version of Windows
(http://bit.ly/fZqyik), and an equation for celebrity dating habits

There are new R user groups (http://bit.ly/eC5YQe) in Orange County,
CA (http://bit.ly/gEFJOr), Tallahassee, FL and Hobart, TAS
(http://bit.ly/heHv3g). 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://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

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)

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