[R] Revolutions blog roundup: July 2013

[David Smith]

Revolution Analytics staff 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 July:

A new 90-second, creative commons video helps R enthusiasts share the
history, community and applications of R: http://bit.ly/13mf0HX

Analyst group Butler Analytics reviews 10 predictive analytics
platforms, and says that "real analysts use R": http://bit.ly/13mf0HY

An excellent example of Simpsons Paradox: US median wages rose
overall, but within every educational subgroup, they declined:
http://bit.ly/13meXMk

Some tips on identifying R functions that will benefit most from byte
compilation, and how to enable automatic package compilation:
http://bit.ly/13mf0HZ

Joe Rickert's poster at useR! 2013 lists the ways that Revolution
Analytics supports the R community: http://bit.ly/13meXMl

Andrie deVries describes the applications of survival analysis
techniques to solve the problem of marketing attribution:
http://bit.ly/13mf0I0

A Shiny app by Ramnath Vaidyanathan displays the real-time status of
bike-sharing programs in more than 100 cities: http://bit.ly/13mf0I1

The new (and free) O'Reilly mini-book on real-time analytics includes
a section on a big-data architecture with R: http://bit.ly/13mf0I2

Thomas Levine's "R spells" includes some useful R tricks you might not
know about: http://bit.ly/13mf0I3

A review of the Rcpp tutorial at useR! 2013, with some benchmarked
examples combining R and C++ code: http://bit.ly/13meXMo

Slides from the Hadoop Summit talk "High Performance Predictive
Analytics in R and Hadoop" by Revolution Analytics' US Chief Scientist
Mario Inchosa: http://bit.ly/13mf0I4

My two-part review of some talks from the useR! 2013 conference: part
1 http://bit.ly/13mf0I5 and part 2 http://bit.ly/13mf0I6

Joe Rickert looks at the new big-data tree algorithm behind the
rxDTree function in the RevoScaleR package: http://bit.ly/13mf3n0

Digital marketing company X+1 uses Revolution R Enterprise for
real-time marketing optimization based on statistical models in R:
http://bit.ly/13mf3mZ

Some highlights from the June 2013 issue of the R Journal: http://bit.ly/13mf0I7

Meet the members of the Revolution Analytics team in London:
http://bit.ly/13mf3n1

A map of R user groups worldwide: http://bit.ly/13mf0Yk

Highlights and photos from some recent R user group meetings around
the world: http://bit.ly/13mf3n2

Some non-R stories in the past month included: what not to do when
analyzing data (http://bit.ly/13mf0Ym), results of a survey of data
scientists (http://bit.ly/13mf0Yn), a red-hot ball of nickel meets a
block of ice (http://bit.ly/13mf0Yl), a lion reunites with his
caretakers (http://bit.ly/13mf0Yo) and one picture that looks like
four (http://bit.ly/13mf3n3).

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, 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