[R] Revolutions blog: October 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 October:

Sponsorships for local R user groups from Revolution Analytics are now
open to applicants worldwide: http://bit.ly/SL40B4

During the landfall of Hurricane Sandy in the US, several R-based apps
used public weather and social media data to document its impact, like
this timeline of power outages: http://bit.ly/SL3YJn, and this impact
forecast: http://bit.ly/SL3YJo

Technology media site TechCrunch published this list of "trendy
open-source techs for Big Data, including R: http://bit.ly/SL40B3

A summary of the new features in R 2.15.2: http://bit.ly/SL40B5

Steve Yun from insurance company Allstate gave a presentation at the
Strata conference, and compared SAS, Hadoop, R and Revolution R for
fitting Poisson models with 150 million rows of data:
http://bit.ly/SL3YJp

R was mentioned in many talks at the Strata conference, including
these by Booz Allen Hamilton, Zillow, and Metamarkets:
http://bit.ly/SL3YJr

I gave a new webinar presentation on data science, big data and R
(slides and replay available): http://bit.ly/SL3YJq

According to a new Gartner report, companies will spend $232B on "big
data" over the next 5 years: http://bit.ly/SL40B6

A time-series boxplot of DW-NOMINATE scores show how the US Republican
Party has drifted to the right since 1975: http://bit.ly/SL40B8

TIBCO launches a proprietary run-time version of the R language
engine, and Teradata's new Big Data appliance integrates R:
http://bit.ly/SL40B7

A report on a speech from Coursera's cofounder (Coursera has a course on R):
http://bit.ly/SL3YJs

The stargazer package creates regression tables in LaTeX suitable for
inclusion in many journals: http://bit.ly/SL3YJt

A recent Bay Area R user group meeting featured talks on mapping,
election prediction, distributed R, conjoint analysis and more (slides
available): http://bit.ly/SL3YJu

An analysis of GitHub and StackOverflow data places R in the top tier
of popular languages: http://bit.ly/SL40B9

You can use the new Themes feature in ggplot2 to make your charts look
like those in the Economist, Excel or even the web-comic XKCD:
http://bit.ly/SL3YJv

The RHadoop project improves the simplicity and performance of
integrating R and Hadoop with version 2.0 of the rmr package:
http://bit.ly/SL40Ba

Jeffrey Breen shares some slides with useful tips on accessing data
from various sources with R: http://bit.ly/SL40Bb

You can now use a 3-D printer to render physical versions of surfaces
created with R's persp function: http://bit.ly/SL3YJw

Some non-R stories in the past month included: a Gangnam-style
Halloween light show (http://bit.ly/SL40Bf), dividing the world into
seven equal parts (http://bit.ly/SL40Bg), a continuous version of
Conway's Life (http://bit.ly/SL3YJz), 43 big-data experts on Twitter
(http://bit.ly/SL40Be), and a time-lapse view of Southern Hemisphere
stars: http://bit.ly/SL3YJy

There are new R user groups in Stockholm, Taipei, Thailand, Marburg,
Luxembourg, Poznań, New Delhi and Madrid: http://bit.ly/SL3YJx .
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