[R] Revolutions blog: March roundup

[David Smith]

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 March:

Facebook used R to analyze profile photo changes to create a map of
same-sex marriage support in the USA: http://bit.ly/Yk77o8

Joe Rickert contrasts ransom sampling with fitting models directly to
large data sets: http://bit.ly/Yk79wv

A presentation by Carlos Somohano summarizes the history, skills and
processes of data scientists (including use of R):
http://bit.ly/Yk79wt

Thomas Dinsmore introduces the new features in the forthcoming
Revolution R Enterprise 6.2 http://bit.ly/Yk777L, including R 2.15.3
http://bit.ly/Yk79ws , stepwise regression for big data
http://bit.ly/Yk79wu and other enhancements to the RevoScaleR package
http://bit.ly/Yk79ww

Rodrigo Zamith created an interactive website that uses ggplot2 to
compare basketball teams: http://bit.ly/Yk777M . The code behind the
application is also available: http://bit.ly/Yk777N

An overview of the 170+ probability distributions available in R:
http://bit.ly/Yk79wx

The Metro Meeting Point web application uses R to find the optimal
meeting point for three people riding the Paris Métro:
http://bit.ly/Yk777O

Video replay of a webinar I gave on March 14 introducing Revolution R
Enterprise: http://bit.ly/Yk79wy

A perspective on teaching R and Data Science using massively-open
online courses like those from Coursera: http://bit.ly/Yk777P

The Washington Post reports on a map of worldwide email traffic
created with R: http://bit.ly/Yk79wz

I discuss the growth of R and Revolution Analytics over the last year
in an interview with the Boulder BI Brain Trust: http://bit.ly/Yk79MM

Quandl is a new package for R that gives access to free time series
data: http://bit.ly/13RgWfJ

A list of resources for data journalists using R: http://bit.ly/Yk777R

A web-based application used R to track bookmaker's odds on the next
Pope: http://bit.ly/Yk777Q

News on new integrations between R and Hadoop from Revolution
Analytics: http://bit.ly/Yk79MN

R 2.15.3, released on March 1: http://bit.ly/Yk777T

Some non-R stories in the past month included: a NoSQL music video
(http://bit.ly/Yk79MO), a 200-year bubble sort simulation to find the
best rowing crew (http://bit.ly/Yk777S), a Donkey Kong role-reversal
(http://bit.ly/Yk777U), word-association with Google spreadsheets
(http://bit.ly/Yk79MP), whether data can really speak for themselves
(http://bit.ly/Yk777V), big data in video games
(http://bit.ly/Yk79MQ), and why you should teach kids to code
(http://bit.ly/Yk79MR).

Meeting times for local R user groups (http://bit.ly/eC5YQe) 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).

Cheers,
# David

--
David M Smith <david at revolutionanalytics.com>
VP of Marketing, Revolution Analytics  http://blog.revolutionanalytics.com
Tel: +1 (650) 646-9523 (Seattle WA, USA)
Twitter: @revodavid
We're hiring! www.revolutionanalytics.com/careers