It's with great pleasure that the team at Revolution Analytics announces the winners of the inaugural "Applications of R in Business" contest: Grand Prize ($10,000): Shannon Terry and Ben Ogorek, Nationwide Insurance for 'A Direct Marketing In-flight Forecasting System' Runner Up Prize ($5,000): Jeffrey Breen, Atmosphere Research Group for 'Mining Twitter for Airline Consumer Sentiment' Congratulations to both winners,...
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Good at applying R? Be a Sales Engineer!
Revolution Analytics is hiring! We're looking for a Sales Engineer -- someone who can show Revolution R to potential customers and really show off what R can do in an applied setting. (Fun fact: this was my first job when I left university, and it's a lot of fun.) The job description is below, please pass it along to...
Revolution Analytics named Startup to Watch in 2012
While we were out over the holiday break, Silicon Angle selected five open-source startups that are commercializing and contributing to open source projects as "Startups to Watch in 2012". Revolution Analytics was #2 on the list: This was a busy year for Revolution. The company released Revolution R 5.0, which included Hadoop integration, allowing users to create map/reduce jobs...
Revolution Newsletter: December 2011
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full December edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Applications of R in Business Contest. A judging panel of industry experts and R...
RHadoop update: new tools for Hadoop map-reduce tasks in R
The open-source RHadoop project to integrate R and Hadoop continues apace, with a new version of the rmr package released this week. Changes in this version improve performance when storing and retrieving R objects from Hadoop with a native serialization process, support for equijoins (a MapReduce-style merge) and some new higher-level R functions to make writing map-reduce tasks simpler....
In case you missed it: November roundup
In case you missed them, here are some articles from November of particular interest to R users. R 2.14 now includes SVG support for Windows. The submissions for the Applications of R in Business contest are available for viewing online. A tutorial on using the Rdatamarket package to import public datasets into R. Free books on R for multivariate...
Forbes: Big Data needs to earn its keep
Dan Woods at Forbes makes a salient point about Big Data: it's not good enough merely to spend a ton of money to collect and store data -- it needs to earn its keep via data analysis: Let’s say you buy a huge Hadoop cluster along with Revolution Analytics, a productization of the R language that has been adapted...
Revolution Newsletter: November 2011
The most recent edition of the Revolution Newsletter is out. The news section is below, and you read the full November edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. R Training from Hadley Wickham: The R guru (and author of ggplot2, plyr and several...
Announcing Revolution R Enterprise 5.0
We're proud to announce the latest update to the enhanced, commercial-grade distribution of R, Revolution R Enterprise 5.0. With each new release, Revolution R Enterprise adds more capabilities to open-source R, to make R users more productive, to improve performance of R programs, to support Big Data analytics, and to provide servers and APIs for enterprise deployment. New features...
The Marriage of Hadoop and R: Revolution Analytics at Hadoop World
Revolution Analytics CTO David Champagne visited Hadoop World 2011 this week, and delivered a presentation on "The Powerful Marriage of R and Hadoop" to a standing-room-only crowd of R and Hadoop enthusiasts. I've included David's slides below: The talk also generated praise on Twitter, for example: David was also interviewed by The Cube during the conference. In the video...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
