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Revolution Newsletters: Issue 13 - Feb 2011
Welcome to the February 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!
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!
Revolution R 4.2 now available. The latest update to Revolution R Enterprise adds import and export to SAS data files, plus Red Hat Linux support for big-data statistical modeling in R, and Windows support for the RevoDeployR Web Services interface for R ... and more. It's available now to new and existing subscribers, and as a FREE download for the academic community.
Unleash the Power of Open Source R. Help spread the word about the power of R with these Four Key Benefits of R for Data Analysis, and build on that power with 10 Ways Revolution R makes R Ready for Business.
Revolution Analytics partners with Zementis. Learn how Revolution R Enterprise and the ADAPA Decision Engine work together to score large amounts of data on models created in R via the PMML standard. Download the free white paper Deploying Advanced Analytics Using R & PMML.
Portfolio Optimization with Rmetrics. If you missed last month's webinar on Portfolio Design, Optimization and Stability Analysis presented by Diethelm Wurtz of the Rmetrics Association, the replay and slides are now available.
Revolution Analytics in the News:
- CIO Magazine names Revolution Analytics as a Company to Watch in 2011
- Forbes looks at Revolution R Enterprise 4.2 in Another Open Source Swipe at IBM and SAS
- The Register says the 'Red Hat for stats" goes toe-to-toe with SAS
- ReadWriteWeb publishes an Enterprise Startup Spotlight: Revolution Analytics, Taking on SAS, SPSS.
Are you paying for expensive software licenses and hardware to run time-consuming statistical analyses on big data sets? If you're doing linear regressions, logistic regressions, predictions, or multivariate cross tabulations there's something you should know: Revolution Analytics can get the same results in R for a substantially lower cost--and faster--than SAS(r).
Through March 31, Revolution Analytics invites you take the SAS to R Challenge. Let us prove that we can deliver on our promise of replicating your results in R, faster and cheaper than SAS.
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.
Marking St Valentine's day, the founders of online dating site OkCupid talk about how they use R to find insights about dating and relationships for their entertaining (and sometimes controversial) blog, OkTrends.
The TIOBE Programming Community Index for February 2011, which tracks programming language popularity, shows R overtaking SAS and Matlab on a month-by-month basis.
R community member Dirk Eddelbuettel, creator of RQuantlib, Rcpp/RInside, and the Task Views for Finance and High-Performance Computing (amongst many other R projects) talks about his history with R in this profile. (link?)
Baseball enthusiast Brian Mills offers a fun way to learn the R language with sab-R-metrics: a series of tutorials on R, built around analysis of MLB statistics.
Every month, we highlight some upcoming events from R Community Calendar.
February 26: The Kansas City R User Group has its inaugural meeting in Lenexa.
March 2: The Greater Boston useR Group presents Max Kuhn, Director of Non-Clinical Statistics at Pfizer, who will discuss his package "caret" for training and plotting classification and regression models.
March 8: The London R user group meets.
March 14: The Predictive Analytics World conference starts in San Francisco (come and visit the Revolution Analytics team there), and the Bay Area R User Group will have a reception and meeting there too.
March 23: The Structure Big Data conference takes place in New York City, and features a presentation by Revolution Analytics' Chief Scientist, Lee Edlefsen: The Coming Revolution in Statistics.
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.