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Revolution Newsletters: Issue 15 - Apr 2011

Welcome to the April 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

Twitter: @revodavid

Download our Newest White Paper "RevoScaleR Speed and Scalability" by Lee Edlefsen Ph. D., Chief Scientist

Learn how RevoScaleR, the Big Data library in Revolution R Enterprise, delivers speed and scalability by optimizing the use of data storage, usage of a computing infrastructure's resources (RAM, CPUs, cores, and computers) and the algorithms themselves. This white paper describes the design and implementation considerations that are the foundation of the high-performance Big Data capabilities of Revolution R Enterprise.

Download 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!

Revolution Webinar April 13th @ 9AM Pacific: Deploying Predictive Analytics with PMML, Revolution R, and ADAPA

Learn more about Revolution R, ADAPA, and PMML (Predictive Modeling Markup Language) -- the uniform standard to represent predictive models. Register now.

Netezza Partnership Inked

For the first time, customers seeking to run high performance and full-scale predictive analytics from within a data warehouse platform will be able to directly leverage the power of the open source R statistics language. For the press release, click here.

Revolution Analytics featured by IT Business Edge

Read the interview with Revolution Analytics' COO, Jeff Erhardt, as he discusses the customer traction Revolution R Enterprise has across industry verticals, and answers questions about complementary technology such as Hadoop and partnerships such as IBM Netezza partnership.

Revolution Analytics profiled by The Register

In the article "'R' is for Revolution Analytics", columnist Dan Olds says predictive analytics is the next 'Big Thing' in commercial computing, and reviews the performance and scalability benefits of Revolution R Enterprise.

On-demand webinar: Integrating R into 3rd Party and Web Applications Using RevoDeployR

If you missed last month's live webinar by Revolution Analytics CTO David Champagne, the replay and slides are now available for download.

See you at R/Finance 2011 in Chicago, April 29-30

R/Finance 2011, the annual conference devoted to R users in the financial sector, features talks on trading, risk, portfolio analysis, and more. Revolution Analytics is proud to sponsor this conference, and the team will be there to answer your questions about how Revolution R Enterprise is used in Finance. Register now: slots are still available for pre-conference workshops and tutorials.

2011 Future of Open Source Survey

If you work for a company that uses open-source software, or for a company that has a business based on open-source company, register your opinions about open-source software at the Future of Open Source Survey. Results will be announced at the OSBC Conference in May.

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:

R's popularity continues to rise. Robert Muenchen updates his analysis of the popularity of statistical software. Meanwhile. the Rexer Analytics Data Miner Survey reports that R is the most commonly-used tool amongst surveyed data miners.

Baseball, T-tests and surprises. Batting averages provide an instructive lesson in R and on checking your assumptions for T-tests.

Deploying predictive models with PMML. Revolution's Joseph Rickert provides code and a live demo of building a model in R and exporting it to PMML for production scoring with ADAPA.

Watch How the New York Times Uses R. Graphics editor Amanda Cox presents at the New York R User Group in this video.

Celebrity Dating Habits, Analyzed. This infographic based on analysis in R applies the "half your age, plus seven" dating rule to the Hottest 100 celebrity couples.

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.