[R] Revolutions Blog: May 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 May:

Billions of geotagged Tweets create a beautiful map of the world when
plotted with the ggmap package: http://bit.ly/111ZQq4

A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the
trading desk at Credit Suisse: http://bit.ly/111ZQq5 . Also, a quick
take on some other talks at the meeting: http://bit.ly/111ZQq6

Two new R books to be published in July: Applied Predictive Modeling
(Kuhn and Johnson), and Dynamic Documents with R and knitr (Xie)
http://bit.ly/111ZQq3

Some organizations using R in 2013: Google, The New York Times,
Facebook, FourSquare, Twitter, John Deere, Zillow, FDA, NOAA and CFPB:
http://bit.ly/111ZOOX

Sentiment analysis on the Enron emails using R and Infinit.e used to
reveal signs of employee anxiety: http://bit.ly/111ZOOW

The 7th R/Rmetrics workshop will take place in Switzerland June
30-July 4: http://bit.ly/111ZOOY

Highlights from the Milwaukee Workshop on R and Bioinformatics:
http://bit.ly/111ZOOZ

An R script to simulate and animate an escape from a Zombie horde:
http://bit.ly/111ZQq7

R 3.0.1 has been released: http://bit.ly/111ZOP1

The May edition of the Revolution Analytics newsletter, including R
training courses and a new gaming webinar on June 13:
http://bit.ly/111ZQq8

Social network analysis in R, presented at the New Frontiers in
Computing Conference: http://bit.ly/111ZOP0

My somewhat controversial comparison of the terms "Statistics", "Data
Science" and "Business Intelligence" (with video for context):
http://bit.ly/111ZOP3

An updated list of resources for R users, including the top 3
resources for R beginners: http://bit.ly/111ZOP2

Noam Ross's useful guide to speeding up R code: http://bit.ly/111ZQqc

Trevor Hastie presents on lasso and elastic-net regularization with
the glmnet package at the Orange County R User Group:
http://bit.ly/111ZQqb

Video replay of the "What's new in Revolution R Enterprise 6.2"
webinar: http://bit.ly/111ZOP4

Further critiques of a SAS white paper benchmarking SAS and R:
http://bit.ly/111ZQqd

Video replay of my Strata presentation, "Real-time Big Data Analytics:
>From Deployment to Production": http://bit.ly/111ZOP5

Naive Bayes modeling for big data with the RevoScaleR package:
http://bit.ly/111ZQqe

An analysis of CRAN package updates and the most prolific package
maintainers: http://bit.ly/111ZQqf

The New York Times again uses R to develop an on-line data
visualization, this time on NFL draft data: http://bit.ly/111ZOP6

Some non-R stories in the past month included: chaotic double
pendulums (http://bit.ly/111ZQqg), Game of Thrones family trees
(http://bit.ly/111ZOP7), top Big Data accounts on Twitter
(http://bit.ly/111ZOP8), StackExchange for Open Data
(http://bit.ly/111ZOP9), logical fallacies (http://bit.ly/111ZOPa), an
animation of every known meteorite (http://bit.ly/111ZQqh) and places
singles meet (http://bit.ly/111ZOPb).

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