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Revolution Newsletters: Issue 22 - November 2011


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. We include 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

david@revolutionanalytics.com

Twitter: @revodavid

 

 

COMING SOON! Revolution R Enterprise 5.0

 

In the next few weeks, a major update to Revolution R Enterprise 5.0 will be available to current subscribers (and free of charge to the academic community). This update will offer yet more new features for productivity, performance, scalability and enterprise deployment to make Open Source R "Ready for Business". To learn more about what's new in version 5.0, join us for a free webinar on Thursday, November 17: What's new in Revolution R Enterprise 5.0

Register Now

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!

R Training from Hadley Wickham: The R guru (and author of ggplot2, plyr and several other R packages) will present his R Development Master Class in New York City, December 12-13. This two-day course offers expert instruction in R programming and package development. Pricing and registration details here.

Applications of in Business Contest: The Entries are In! More than two dozen submissions showcasing applications of R for sentiment analysis, clinical trial design, direct marketing, IT resource management and many more are now online. Contestants have until November 30 to finalize their submissions. Your comments will help them compete and the judges select winners for $20,000 in prizes, so check out the submissions today.

Video: Revolution Analytics and the Landscape of Big Data and BI. Revolution Analytics CTO David Champagne presented Revolution Analytics' RHadoop Project at Hadoop World 2011, and The Cube caught up with him for an interview. Watch the video here.

Why use Revolution R Enterprise? Because it's 100% R and more. Learn about the additional features in Revolution Analytics' enhanced distribution of R in our 30-minute recorded webinar. Download the replay and review the slides now.

Big Data and Revolution R: In a recent webinar, Revolution Analytics Chief Scientist Lee Edlefsen explained how the RevoScaleR package scales R to terabyte-class data sets, without the need for specialized hardware. View the recording and download the slides here.

Do you use SAS or SPSS, but want to learn about R? Our recent webinar, presented by Bob Muenchen, is a great jumpstart to R for anyone familiar with SAS or SPSS. Check out the slides or download a replay here.

R News, Tips and Tricks from the Revolutions blog

The Revolutions blog brings you daily news and tips about R, statistics and open source. Here are some highlights from Revolutions from the past month.

The creator of the ggplot2 package, Hadley Wickham, shares details on some forthcoming big-data graphics functions (based on research sponsored by Revolution Analytics).

Looking for some data to use with R? Joseph Rickert has compiles a list of more than 40 free and public data sources that are ready to import into R, from economics and finance, to government and the sciences, and much more. See the full list here: Finding Data on the Internet.

R's power and flexibility makes it ideal for implementing novel portfolio optimization strategies. The Systematic Investor blog recently demonstrated how to implement an "average correlation" criterion in R.

R is also excellent for random effects modeling (and hierarchical modeling, and multi-level modeling), and the Quantum Forest blog has several detailed examples.

Antonio Piccolboni shows how much easier it is to do K-means clustering in Hadoop using RHadoop than using Java and Pig.

A list of the "Top 50 Statistics Blogs" includes Revolutions and several other blogs that post content related to R.

A profile of quantitative developer and author of "R Cookbook", Paul Teetor.

Upcoming Events

Every month, we highlight some upcoming events from 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.