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Revolution Newsletters: Issue 20 - September 2011


Welcome to the September 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

 

 

RCPP Master Classes in SF and NY: High-performance R programming

 

R expert and package author Dirk Eddelbuettel will provide six hours of detailed and hands-on instructions and discussions on making R code run lightning-fast with the Rcpp package in an intimate small-group setting. Register now for workshops in New York (September 24) and San Francisco (October 8).

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!

Using Revolution R with Hadoop: Revolution Analytics has released three open-source R packages, making it possible to work with Hadoop data in R, and bring in-database R analytics to Hadoop. Learn more in a live webinar from CTO David Champagne on September 21, or download the white paper Advanced 'Big Data' Analytics with R and Hadoop.

Big Data needs Big Analytics. Revolution Analytics' CEO Norman Nie explores how statistical analysis techniques are critical to deriving value from Big Data in a new white paper available for download now: The Rise of Big Data Spurs a Revolution in Big Analytics.

Submit applications of R for $20,000 in prizes. Revolution Analytics is sponsoring a contest to create "use cases" of R and Revolution R, to help convince data analysts in businesses to switch. Submissions are open now through October 31. Details: Applications of R in Business Contest.

Behind the 2010 "Flash Crash". On May 6, 2010, at 2:45 PM, the Dow Jones Industrial Average plummeted approximately 900 points and rebounded within a matter of minutes. Yale researchers Michael Kane, PhD and Casey King analyzed roughly 24 billion trades from 2008-2010 to evaluate the efficacy of the FINRA rules implemented after the event. In a free webcast on Thursday September 29, they will describe how they used Revolution R Enterprise and Netezza to draw their conclusions. This webcast is for statisticians, analysts and IT teams responsible for Big Data Analytics who are looking for ways to achieve greater innovation and leapfrog current performance. Register now.

Revolution Analytics at useR! 2011. Last month's worldwide R user conference at Warwick University was a great success, and the Revolution Analytics team is proud to have been a part of it. If you couldn't make it, our presentations on the R Ecosystem and Big Data Statistics in R are available for download, and here's a roundup of presentations from other R users at the conference.

Revolution Analytics at Strata NY. Just this week, Fortune reported that Data Science is the hot new gig. So we're proud to be supporting the leading Data Science conference, Strata: Making Data Work. Come see us at Kiosk #11 at the New York Hilton, September 22-23.

Revolution R is 100% R and More. The slides and replay from our recent webinar showcasing the additional features of Revolution R are now available for download.

Get early access to new Big Data and R integration features. Are you grappling with 'big data' issues with R? Revolution Analytics is currently enrolling participants in a beta of an enhanced RevoScaleR package that provides new tools for parallel and distributed computing with R. We will also begin a beta program for RevoDeployR 2.0 in October and we're inviting participants now. If you are looking for a straightforward way to integrate R scripts with third-party applications and BI tools, the RevoDeployR web services framework can simplify your life. All these new features will be part of the forthcoming Revolution R Enterprise 5.0 release. If you'd like to participate in either beta program, contact us at beta@revolutionanalytics.com to get started.

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 Core member Luke Tierney announced that R 2.14 will be faster, thanks to the new byte compiler used for base and recommended packages.

Three Google employees talk about how they use R to make Google products more effective.

The rdatamarket package makes it easy to download more than 100M time series for use in R.

An R user at ANZ bank in Australia talks about how he uses R for credit risk analysis.

Two grad students at University of Michigan use R to determine what factors most influence the selection committee for the Hockey Hall of Fame.

R Core member Brian Ripley gave some insights into R's development process, and the future of R.

A profile of Martyn Plummer, R core member and contributor to several R packages for epidemiology and Bayesian analysis.

In a survey, statisticians report that they consider themselves data scientists, and that they expect usage of R and Revolution R to grow.

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.