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Revolution Newsletters: Issue 21 - October 2011
Welcome to the October 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!
David Smith, VP Marketing and Community
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!
Applications of R Contest: Deadline October 31. Revolution Analytics is offering $20,000 in prizes for short "use cases" of R or Revolution R (like this one, for example), to help convince data analysts in businesses to switch. Enter now to be eligible to win. Details: Applications of R in Business Contest.
Learn how ANZ uses R (with SAS and Excel) for Banking: Hong Ooi from Australia and New Zealand bank described how he depends on R for the bulk of his analysis, for mortgage loss modeling, stress-testing loan portfolios, and more. Download the slides and replay now.
Why use Revolution R Enterprise? Because it's 100% R and more. Learn about the additional features in Revolution Analytics' enhanced distribution of R in a 30-minute webinar on Wednesday, October 19. Register for "Revolution R Enterprise: 100% R and More" here.
Big Data and Revolution R: Revolution Analytics Chief Scientist Lee Edlefsen explains how the RevoScaleR package scales R to terabyte-class data sets, without the need for specialized hardware. Register for "Scalable Data Analysis in R", a free webinar on October 26.
Revolution Analytics partners with Cloudera to support R and Hadoop. As reported at ReadWriteWeb and in The Register, RevoConnectR for Apache Hadoop (new R packages from Revolution Analytics introduced in this recorded webinar) will be supported with Cloudera's Distribution for Apache Hadoop in Revolution R Enterprise 5.0 for Linux later this year. Learn more and download the white paper here.
Using Revolution R Enterprise and IBM Netezza to analyze intra-day financial data. Two Yale researchers used in-database analysis of 25 billion equity trades to determine whether new SEC rules are sufficient to prevent another stock market "Flash Crash". Learn about the performance benchmarks for processing such large volumes of data and hear their conclusions in this recorded webinar.
Beta test program for Revolution R Enterprise 5.0. Scheduled for release later in 2012, Revolution R Enterprise 5.0 will feature enhanced big-data processing tools, the ability to do parallel computing and big-data statistics on multi-node clusters with Microsoft HPC Server, and an updated Web Services framework with multi-user support for projects sharing and server-based batch execution of R jobs. We invite you to beta test these features before release by emailing email@example.com.
Revolution Analytics named "Vendor to Watch" in 2011 Victory Index: The inaugural Victory Index report from Hurwitz & Associates on Predictive Analytics evaluates Revolution Analytics and 12 other companies. Learn more.
Revolution Analytics at Predictive Analytics World: Come visit the Revolution Analytics team in the exhibition hall at PAW 2011 in New York City, October 19-20.
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.
Instructions on how to read Google Spreadsheets into R have been updated to work with Google's SSL connection.
Insurance giant Lloyds of London uses R for performance management, exposure analysis, Monte-Carlo simulation, data visualization, reporting, and much more.
A KDnuggets poll finds R to be the most commonly-used software for data mining and analytics.
A ggplot2 chart created with R is used to illustrate the "half-life" of links posted to Facebook, YouTube and Twitter, based on data from bitly.
An article on ReadWriteWeb, "Unlocking Big Data with R", has examples from the New York Times, Orbitz and OkCupid.
The R Graph Gallery has hundreds of examples of charts created with R, with source code you can use and adapt.
Every month, we highlight some upcoming events from R Community Calendar.
- October 15: The ACM Data Mining Camp in San Jose, CA will feature R-related presentations in a fun, unconference format.
- October 17: The Amsterdam R User Group features a presentation on R on the iPhone, and the R User Group at Tufts University hosts an "install party" for new R users.
- October 18: The Portland R User Group discusses Water Quality and R, and the Denver R User Group has a talk on Reducing Computational Expense.
- October 19: The Sydney Users of R Forum continues its Elements of Statistical Learning Book Club.
- October 22: The Dallas RUG Meetup continues its Time Series Tutorial with R.
- October 25: The DC Data Science group has a session on Logic Regression in R, the LA R User Group provides instruction on creating an R package, and the Wiesbaden R Users Group meets.
- October 26: The Basel R User Group discusses graphics, reporting, and clinical trials.
- October 27: The Melbourne Users of R Network discusses forecasting time series with R.
- October 28: There is an R User Conference in Seoul, Korea (sponsored by Revolution Analytics).
- November 4: Data Without Borders helps non-profits and NGOs analyze their data at the San Francisco DataDive
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.