In case you missed them, here are some articles from October of particular interest to R users.
In case you missed them, here are some articles from October of particular interest to R users.
Sponsorships for local R user groups from Revolution Analytics are now open to applicants worldwide.
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 and this impact forecast.
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Technology media site TechCrunch published this list of trendy open-source techs for Big Data, including R.
A summary of the new features in R 2.15.2.
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.
R was mentioned in many talks at the Strata conference, including those by Booz Allen Hamilton, Zillow, and Metamarkets.
I gave a new webinar presentation on data science, big data and R (slides and replay available).
According to a new Gartner report, companies will spend $232B on “big data” over the next 5 years.
A time-series boxplot of DW-NOMINATE scores show how the US Republican Party has drifted to the right since 1975.
TIBCO launches a proprietary run-time version of the R language engine, and Teradata’s new Big Data appliance integrates R.
A report on a speech from Coursera’s cofounder (Coursera has a course on R).
The stargazer package creates regression tables in LaTeX suitable for inclusion in many journals.
A recent Bay Area R user group meeting featured talks on mapping, election prediction, distributed R, conjoint analysis and more (slides available).
An analysis of GitHub and StackOverflow data places R in the top tier of popular languages.
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.
The RHadoop project improves the simplicity and performance of integrating R and Hadoop with version 2.0 of the rmr package.
Jeffrey Breen shares some slides with useful tips on accessing data from various sources with R.
You can now use a 3-D printer to render physical versions of surfaces created with R’s persp function.
There are new R user groups in Stockholm, Taipei, Thailand, Marburg, Luxembourg, Poznań, New Delhi and Madrid.
Some non-R stories in the past month included: a Gangnam-style Halloween light show, dividing the world into seven equal parts, a continuous version of Conway’s Life, 43 big-data experts on Twitter, and a time-lapse view of Southern Hemisphere stars.
As always, thanks for the comments and please send any suggestions to me at david@revolutionanalytics.com. Don’t forget you can follow the blog using an RSS reader like Google Reader, or by following me on Twitter (I’m @revodavid). You can find roundups of previous months here.
