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Revolution Newsletters: Issue 18 - July 2011


Welcome to the July 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

 

 

Beta Test Revolution R Enterprise 5.0

 

Are you running R in a Microsoft environment? Revolution Analytics is looking for tech-savvy users with big data problems who are interested in participating in our beta program. Revolution R Enterprise 5.0 for Windows HPC Server provides easy-to-use tools for parallel and distributed computing with R that can scale out many algorithms across multiple nodes on your HPC cluster. If you have analytics problems that you're ready to run on your HPC Server-- summary statistics, linear regressions, logistic regressions, predictions, multivariate tabulations, or k-mean clustering--and you want to participate in the Revolution R Enterprise beta, contact us at beta@revolutionanalytics.com to learn more.

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!

The 'Big Analytics' Revolution Starts with R. If you missed last month's webinar on how companies of all types and sizes can integrate R into their modern enterprise analytics infrastructure, download the replay and slides now.

Leading companies use Revolution R. Learn how marketing automation leader Marketo uses Revolution R Enterprise for regression modeling and forecasting, and how Asia Capital Reinsurance Group uses RevoDeployR to create user-friendly experiences for analytics applications, at our Featured Customers page.

See big data analytics in action at JSM. Revolution Analytics is proud to be a Gold Sponsor of the 2011 Joint Statistical Meetings in Miami. Visit us at the JSM 2011 Expo July 31-August 3 for a demonstration of the latest features of Revolution R Enterprise, and join us for drinks and socializing with other R users at the Revolution Analytics Happy Hour on Monday, August 1.

Free White Paper: The Open-Source Analytics Stack. Download now to learn how the emerging open-source analytics stack is a cost-effective and practical alternative to monolithic BI solutions offered by traditional vendors.

Course: Portfolio Selection and Optimization in Practice. Rmetrics and Revolution Analytics present a two-day training course, September 8-9 in New York City, led by Professor Diethelm Wurtz, ETH Zurich. Space is limited - register today.

Revolution Analytics in the News. ComputerWorld quotes Revolution Analytics CEO Norman Nie on the 6 hottest new jobs in IT; analyst Steve Miller previews the integration between Revolution R and the IBM Netezza data warehouse; Forbes' Quentin Hardy notes competition to SAS from Revolution Analytics; and blogger Ajay Ohri lists some contributions to the R community from Revolution Analytics.

Get Revolution R Enterprise today. Visit the new Revolution Analytics Web Store to purchase Revolution R Enterprise for immediate download and start using the big-data capabilities of our enhanced R distribution.

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.

We provide tips on doing principal components analysis and K-means clustering on large data sets with the RevoScaleR package.

Video recordings of two R-related talks from Hadley Wickham (on interactive graphics, and on engineering data analysis) are available for viewing online.

Blogger Christian Gunning offers tips on how to speed up R "for" loops -- up to 50x faster! -- by recoding the body in C++ with help from the Rcpp package.

The June edition of the R Journal offers guides for R users on using time zones, social network analysis, creating tests for packages, visualizing electronic order books, and much more.

We profile UCLA's Jeroen Ooms, creator of several interactive web-based applications based on R.

The always-excellent FlowingData blog provides a step-by-step guide to mapping of geographic networks by drawing great circles in R.

Upcoming Events

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

  • July 13: The Greater Boston R UseR Group presents a collection of lightning talks about R.
     
  • July 18: The Canberra R Users Group hosts a presentation on Time Series Analysis and Mining with R
     
  • July 19: The Denver R User Group explores using R and Latex.
     
  • July 21:

    - The R User Group of Singapore presents a look at Bioinformatics

    - The Washington DC useR Group features a discussion of Nonparametrics in R, using experimental data
     

  • July 26: The Sydney Users of R Forum (SURF) welcomes back Mark Norrie for the second part of his RapidMiner+R Integration talk given in January.
     
  • July 27: The Melbourne Users of R Network (MelbURN) discusses experiences with using SAS and R in the insurance and banking industries.
     
  • July 28: Boston's back with another meeting on High-Performance Computing with R.
     
  • July 30 - August 4: The 2011 Joint Statistical Meetings (JSM) in Miami, FL -- the largest annual gathering of statisticians held in North America.

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.