[R] Revolutions blog: April roundup

[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 April:

Registration is now open for the useR! 2014 R conference in Los
Angeles: http://bit.ly/1fVDvaK

A new program from Revolution Analytics offers technical support to
users of open source R worldwide: http://bit.ly/1fVDy6p

A new Kaggle competition challenges R users to predict which shoppers
will become repeat buyers: http://bit.ly/1fVDy6q

Rapporter.net collects data on R usage around the world and displays
it as an interative map: http://bit.ly/1fVDvaL

The New York Times publishes the R code behind their new US Senate
election forecast feature: http://bit.ly/1fVDy6o

Talent Analytics uses R to understand the factors that lead employees
to resign: http://bit.ly/1fVDvaM

Thomas Dinsmore compares performance benchmarks for SAS and Revolution
R Enterprise: http://bit.ly/1fVDy6r

A succinct example of Simpson's Paradox: "Good for women, good for
men, bad for people": http://bit.ly/1fVDvaN

A replay of the Revolution Analytics webinar, Big-Data Trees for R:
http://bit.ly/1fVDy6s

A local newspaper features R and the weatherData package: http://bit.ly/1fVDvaO

I talked about data scientists using R in a DM Radio podcast:
http://bit.ly/1fVDvaP

A look at the R H2O package, which provides an interface to the 0xdata
distributed algorithms: http://bit.ly/1fVDy6t

Some great examples of vectorized programming in R: http://bit.ly/1fVDvaQ

Monte-Carlo simulation of financial time series: http://bit.ly/1fVDy6u

A new CRAN task view dedicated to interfacing R with social media,
open data, and other Web technologies: http://bit.ly/1fVDy6v

An R script to create an impressionistic avatar from your Twitter
followers: http://bit.ly/1fVDvaR

A summary of the new features in R 3.1.0 "Spring Dance": http://bit.ly/1fVDy6w

R used to analyze character connections in the script of the Star Wars
movies, and other applications: http://bit.ly/1fVDvaS

The chloroplethr package can now create animated data maps:
http://bit.ly/1fVDy6y

A new R-based blog from Norman Matloff, author of The Art of R
Programming: http://bit.ly/1fVDvaT

A overview of R packages for ensemble modeling: http://bit.ly/1fVDy6C

An in-depth article in FastCompany Labs surveys open science with R:
http://bit.ly/1fVDvaU

A list of R packages and resources for generalized linear modeling:
http://bit.ly/1fVDy6A

Seven data points quantifying the recent growth of R: http://bit.ly/1fVDy6B

An example of vectorization in R, looking at the Collatz Conjecture:
http://bit.ly/1fVDvaV

General interest stories (not related to R) in the past month
included: visible sound (http://bit.ly/1fVDvaW), how dogs react to
magic (http://bit.ly/1fVDy6D), the generic brand video
(http://bit.ly/1fVDy6E), arguments pro and con for Big Data
(http://bit.ly/1fVDy6G) and the 2048 game (http://bit.ly/1fVDy6F).

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 or via Twitter (I'm
@revodavid).

Cheers,
# David

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