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Revolution Newsletters: Issue 33 - November 2012

Welcome to the November edition of the Revolution Newsletter! Every month we bring you the latest news about R from Revolution Analytics and around the Web. You'll find tips and tricks on using R, events of interest to the R community, and information about products and initiatives from the team at Revolution Analytics. This newsletter is for you, so let us know what you think -- send us feedback at my email address below. If you find this newsletter valuable, forward it to your friends. And if you've received this newsletter from a friend, you can subscribe here to get your own copy each month. Enjoy!

Your editor,

David Smith, VP Marketing and Community


Now Available: Revolution R Enterprise 6.1

The latest release of Revolution Analytics' enterprise-ready data analysis platform is now available! Revolution R Enterprise 6.1 adds a new big-data decision tree algorithm, support for analysis of data in the Hadoop Distributed File System (HDFS), and performance, security and installation improvements. Join our webinar on Thursday, November 15 to learn what's new, visit the Revolutions blog for a video demo of analyzing HDFS data, or compare features in our Which R is Right for Me? page

Revolution News

Every month, we bring you the latest news about Revolution's products and events in this section. Follow us on Twitter at @RevolutionR for up-to-the-minute news and updates from Revolution Analytics!

New Public Training Courses in Boston, Singapore. The Revolution Analytics Training Page has details on new live classroom courses from expert instructors, including basic R and R data visualization courses near Boston, Advanced R in Milan, and Introduction to R and Time Series courses in Singapore. Registration is also open for the online courses Big Data Analytics with RevoScaleR, Introduction to R for SAS/SPSS/Stata Users, and Managing Data with R.

Why the world needs Data Science, and why Data Scientists need R. If you missed the recent webinar The Rise of Data Science in the Age of Big Data Analytics: Why Data Distillation and Machine Learning Aren't Enough presented by Revolution Analytics' David Smith, a video replay is now available.

Revolution Analytics in the News. Read in InfoWorld how Williams-Sonoma targets customers with Big Data, Revolution R Enterprise and Upstream Software. And David Smith reveals in VentureBeat how Nate Silver used data science to beat the pundits and correctly call the election outcome.

R News, Tips and Tricks from the Revolutions blog

The Revolutions blog brings you daily news and tips about R, data science and open source. Here are some recent highlights, and you can find more articles in our monthly roundup.

Jeffrey Breen shares some slides with useful tips on accessing data from various sources with R.

Steve Yun from insurance company Allstate compared SAS, Hadoop, R and Revolution R for fitting Poisson models with 150 million rows of data.

A time-series boxplot of DW-NOMINATE scores show how the US Republican Party has drifted to the right since 1975.

The stargazer package creates regression tables in LaTeX suitable for inclusion in many journals.

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.

You can use a 3-D printer to render physical versions of surfaces created with R's persp function.

Upcoming Events

Every month, we highlight some upcoming events from the R Community Calendar.

Please let us know if we're missing your R user group. If you're interested in starting a local R user group in your area, Revolution Analytics offers sponsorships for both new and established groups--and has published some tips for starting a new R user group.