[R] Revolutions blog: March roundup

David Smith david at revolutionanalytics.com
Fri Apr 4 21:38:15 CEST 2014

Revolution Analytics staff 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:

Francis Smart offers five excellent reasons to use R, and notes that R
is the top Google Search for statistical software:

Revolution Analytics is offering R training for SAS users in Singapore
and online: http://bit.ly/1dYHphT

The number of R user groups worldwide continues to grow, and there
have already been over 135 meetings in 2014: http://bit.ly/1dYHphV

Color palettes for R charts based on the production design of Wes
Anderson movies: http://bit.ly/1dYHrGu

A history of ensemble methods, by Mike Bowles: http://bit.ly/1dYHrGt

An eBook on Big Data and Data Science by the publishers of the Big
Data Journal includes articles based on R: http://bit.ly/1dYHphU

An in-depth tutorial by Gaston Sanchez on handling character data with
R: http://bit.ly/1dYHpi3

Joseph Rickert suggests several large, open data sets you can analyze
with R: http://bit.ly/1dYHrGz

Rodrigo Zamith updates his web-based application to compare NCAA
basketball team performance: http://bit.ly/1dYHpyg

Many R projects are under consideration for the 2014 Google Summer of
Code: http://bit.ly/1dYHpyh

Bob Muenchen shares his secrets of teaching with R: http://bit.ly/1dYHrGA

The Atlanta Big Data Analytics Team Challenge sponsored R users to
help CARE International: http://bit.ly/1dYHrGB

The Human Rights Data Analysis Group uses R and ensemble models to
quantify the impact of the war in Syria: http://bit.ly/1dYHrGD

An index of contributed R documentation, assembled into an R "meta"
book: http://bit.ly/1dYHrGF

The deadline for submitting tutorials to the useR! 2014 conference in
LA has been extended to April 10: http://bit.ly/1dYHpyk

Derek Norton describes how to do ridge regression using the rxCovCor
function of the RevoScaleR package: http://bit.ly/1dYHrGG

In an op-ed at RSS StatsLife, I review the role of statisticians in
data privacy: http://bit.ly/1dYHpyo

A brief summary of the improvements in R 3.0.3: http://bit.ly/1dYHpyr

Hidden Markov models in R, with application to detection
regime-switching events in financial markets: http://bit.ly/1dYHpys

Why automating data science is dangerous without human supervision and
statistical expertise: http://bit.ly/1dYHpyt

A history of Emacs and ESS-mode for R, by Rodney Sparapani:

Some news articles about R and Revolution Analytics in Wired,
ComputerWorld, Inside BigData and Datanami: http://bit.ly/1dYHpyu

Some non-R stories in the past month included: a real photo that looks
like Sim City (http://bit.ly/1dYHrWY), a video of Europe's
constantly-changing borders (http://bit.ly/1dYHpyw), the new
FiveThirtyEight data journalism site (http://bit.ly/1dYHrWZ),
bad-mannered cats (http://bit.ly/1dYHpOQ), and a surprising
demonstration of change blindness (http://bit.ly/1dYHpOS).

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/.
You can receive daily blog posts via email using services like
blogtrottr.com, or join the Revolution Analytics 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, via email using blogtrottr.com,
or by following me on Twitter (I'm @revodavid).

# David

David M Smith <david at revolutionanalytics.com>
Chief Community Officer, Revolution Analytics
Tel: +1 (650) 646-9523 (Seattle WA, USA)
Twitter: @revodavid

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