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Revolution Newsletters: Issue 37 - March 2013


Welcome to the March edition of the Revolution Newsletter! Every month we bring you the latest news about R from Revolution Analytics and around the Web. You'll find 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.

Your editor,

David Smith, VP Marketing and Community

david@revolutionanalytics.com

Twitter:@revodavid

 
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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!

New to Revolution R Enterprise? Watch our 90-second video to learn we bring power, productivity and enterprise readiness to open source R. For a more detailed look, check out the replay of last week's webinar, 100% R and More.

A new London office, and an expanded executive team. We're very proud to have industry leaders from Accenture, SAS and IBM come on board to drive our growth at Revolution Analytics. We're also excited to announce our new office in Finsbury Park, London which will be our hub for sales, business and technical services for our UK and European clients.

Expanded support for Hadoop platforms. Revolution R Enterprise is now supported for use with Cloudera, IBM BigInsights, Hortonworks and Intel Hadoop distributions. We're also working with Hortonworks to develop in-Hadoop predictive modeling, so you'll soon be able to skip the data extract step and the computational power of Hadoop clusters directly. Learn more about how Revolution R Enterprise works with Hadoop in our 4-minute video.

Revolution Analytics is Hiring! We're looking to hire dedicated data scientists, engineers, consultants, trainers and sales and marketing personnel. To join our innovative and fast-growing company at the forefront of predictive analytics, take a look at the career opportunities available at www.revolutionanalytics.com/careers.

Share your thoughts on Open Source. Revolution Analytics is a partner in the annual Future of Open Source Survey, and we invite you to contribute to this research by taking this 10-minute survey before March 28. The research will be made public on April 17, and you can review last year's results here.

Interview with Boulder BI Brain Trust. David Smith sat down with BBBT analyst Claudia Imhoff to discuss business intelligence, data science, and Revolution Analytics' momentum over the past year. Catch the audio interview here.

R News, Tips and Tricks from the Revolutions blog

The Revolutions blog brings you daily news and tips about R, data science and open source. Here are some recent highlights, and you can find more articles in our monthly roundup.

How to resample from a large data set with RHadoop, and a video introduction to the RHadoop packages.

Jeffrey Stanton has published a free e-book "An Introduction to Data Science" using R.

Quandl is a source for free time series data. You can analyze the data in R with the R package for Quandl.

The PitchRx package provides access to MLB statistics and even generates animations of baseball data.

A list of 10 R packages that everyone should know about, from the yhat blog.

A cautionary tale of why you shouldn't use spreadsheets to build complex correlation models: this may have led to the downfall of the "London Whale"!

If you want take a deeper look at your web traffic data, it's now possible to analyze web traffic data from Google Analytics with R.

R package authors shouldn't miss the devtools package, which makes the process of building R packages easier.

Upcoming Events

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

  • March 21: Raleigh-Durham-Chapel Hill R Users Group will hear a talk by SAS Co-Founder, John Sall
  • March 26: The Connecticut R Users Group will discuss Decision Trees in R
  • March 26: The Seattle useR Group will listen to a series of lightning talks
  • March 27: The Sydney Users of R Forum (SURF) will discuss "Implementing in-database predictive scoring using R, Postgres, and PL/R"
  • March 27: RUGS (Singapore) will meet at AIrAsia Expedia and see a demo on Running R-in Database
  • March 28: The Los Angeles area R users group will look into "Tips and tricks"
  • March 29: The Edmonton R User Group will discuss "Plotting and Parallel Computing"
  • March 30: The Dallas R Users Group will look into MapReduce with R
  • April 3: The Montreal R User Group will hold a Mini R hackathon
  • April 3: LuxR (Luxembourg) will listen to presentations on Machine Learning
  • April 3: Dublin R will discuss the R packages every data scientist should know
  • April 4: The Santa Barbara R User's Group will hold its inaugural meeting with talks on R web scraping and more
  • April 12: The Koln R user group will meet to discuss Shiny and cluster analysis in R
  • April 15: BARUG, the Bay Area R User Group (San Francisco) will meet at Predictive Analytics World and hear presentations on doing marketing analytics with are and the new data base package SciDB
  • April 16 The R User Group Rhein-Neckar will discuss data management with R

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.