[R] Revolutions Blog: November 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 November:

In the webinar "Real-Time Predictive Analytics with Big Data", I
showed how R fits in to a real-time production system:
http://bit.ly/TMFP3e

R package developer Yihui Xie shares his favorite software and
hardware in an interview with The Setup: http://bit.ly/TMFP3f

Hadley Wickham created a handy tutorial for the Rcpp package,
describing how to combine fast C++ code with R (even if you don't know
C++): http://bit.ly/TMFP3d

R is used in the Human Resources department at Facebook (and is
displacing Excel for HR generally): http://bit.ly/TMFMVa

Applications are open for the 2013 John M Chambers Statistical
Software Award: http://bit.ly/TMFMVb

The 2013 useR! conference will be held in Spain, and abstracts are
invited from participants for contributed talks: http://bit.ly/TMFMV9

A video tour of R, for beginners: http://bit.ly/TMFMVc

By measure of the number of characters it takes to express common
tasks in various languages, R is ranked as the third most concise:
http://bit.ly/TMFP3h

The Slidify package creates presentations from literate R code, and is
a more modern-looking and Web-aware alternative to "beamer":
http://bit.ly/TMFMVe

Benchmarks of the time required for the biglm package to process some
big-data GLM analyses: http://bit.ly/TMFP3i

RStudio releases Shiny, a new package to make interactive web-based
applications with R: http://bit.ly/TMFMVd

John Deere uses R to speed up the production of tractors and to
forecast crop yields, as shown in this webinar replay:
http://bit.ly/TMFP3g

Revolution R Enterprise 6.1 is now available, with big-data tree
models, a Hadoop HDFS connection, and improved performance:
http://bit.ly/TMFP3j

Another take on of using ggplot2 to visualize the DW-NOMINATE data on
ideology shifts in the US Congress: http://bit.ly/TMFMVf

I present the Data Scientist's Tookit (including R, of course) in this
replay of my webinar, The Rise of Data Science in the Age of Big Data
Analytics: http://bit.ly/TMFMVg

An animated map created with R shows US presidential candidates
travelling across the USA: http://bit.ly/TMFMVh

Some non-R stories in the past month included: a time-lapse movie of
edits to a research paper (http://bit.ly/TMFP3k), "Data Scientist"
named one of the best new jobs in USA (http://bit.ly/TMFP3l),
capturing lightning in acrylic (http://bit.ly/TMFP3m), the difference
between Frequentists and Bayesians (http://bit.ly/TMFP3n), how Nate
Silver used Data Science to forecast the 2012 US election outcome
(http://bit.ly/TMFNbw) and an electronic orrery
(http://bit.ly/TMFNbx).

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 (Palo Alto, CA, USA)
Twitter: @revodavid