[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 da...@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 da...@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

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

[R] Revolutions Blog: May 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.

http://bit.ly/dn7DgR linked to 13 videos for learning R, from the
basics (What is R?) to more advanced topics.

http://bit.ly/cJUhiY noted the release of R 2.11.1.

http://bit.ly/d53tvn announced that Revolution Analytics makes its
software available free of charge to the academic community.

http://bit.ly/9xCQ83 noted how statistical inference was used to
accurately estimate German tank forces in WWII, and linked to an R
simulation to verify the calculation.

http://bit.ly/b5puKD announced a new website for the R community,
www.inside-R.org, sponsored by Revolution Analytics.

http://bit.ly/9r85bd linked to a video of economist JD Long explaining
why he uses R.

http://bit.ly/cySMgE linked to Jeromy Anglim's explanation of the
abbreviated names of 150 R functions.

http://bit.ly/cEceU8 announced a webinar I gave, Introduction to
Revolution R. The live event has passed now, but you can download
slides and watch a replay at this link.

http://bit.ly/brs2s2 recapped some recent news articles mentioning R
and Revolution, in Forbes, The Register, PC World and elsewhere.

http://bit.ly/9UDgOL linked to an analysis in R on predicting the
outcome of a series of baseball games.

http://bit.ly/bJYW9v linked to some materials from the CloudAsia
conference on parallel computing in R for life sciences.

http://bit.ly/dfb4PA provided a tip on keeping the console window
active in the R Productivity Environment GUI.

http://bit.ly/aeHO7B announced a webinar on integrating R-based graphs
and computations with business intelligence dashboards. (The live
event has passed, but you can download slides and a replay at this
link.)

http://bit.ly/dqr1hc linked to another method of mapping your Twitter
social network with R.

http://bit.ly/bVI6e9 linked to a video by JD Long on using the Amazon
Elastic Map-Reduce system to run large-scale map-reduce calculations
in the cloud with R.

http://bit.ly/auZ7N8 announced Revolution Analytic's development
roadmap for 2010.

There are new R user groups in Boston (http://bit.ly/cHedm0) and
Atlanta (http://bit.ly/aVo1cI). Also, http://bit.ly/a82GAf noted the
list of local R User Groups worldwide at MeetUp.com, and how you can
request a new group in your area.

Other non-R-related stories in the past month included Google's new
BigQuery and Prediction API tools (http://bit.ly/bfEeLm), the effects
of volcanic ash on a modern city (http://bit.ly/9qWfQf) and (on a
lighter note) the dating equation (http://bit.ly/9LR28N) and a neat,
practical optical illusion (http://bit.ly/dsmyov).

The R Community Calendar has also been updated at:
http://blog.revolutionanalytics.com/calendar.html

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 da...@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 da...@revolutionanalytics.com
VP of Marketing, Revolution Analytics  http://blog.revolutionanalytics.com
Tel: +1 (650) 330-0553 x205 (Palo Alto, CA, USA)

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.