Blog Archives

Applications of R in Business Contest: Final Entries

December 2, 2011
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The revision period for the Applications of R in Business Contest is now at a close, and the competitors have finalized their entries for a chance at $20,000 in prizes from Revolution Analytics. We're now in the judging phase, where the finalists will be rated on applicability to business, innovation and persuasiveness by an independent panel of judges from...

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Interviews on Revolution R Enterprise 5.0

December 1, 2011
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For those looking for more background behind the updates in Revolution R Enterprise 5.0, there are now a couple of interviews online where I talk about the new release. At IT Business Edge ("Revolution Analytics' Goal: Make R Analysis Enterprise-Friendly"), I had a chat with Loraine Lawson about how Revolution R Enterprise fits within the analytics stack, its big-data...

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Free ggplot2 webinar from Hadley Wickham

November 30, 2011
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The Orange County R Users Group is hosting a free webinar presented by Hadley Wickham, author of the ggplot2 graphics package for R. The webinar, "Advanced Visualizations in R with Hadley Wickham" is live from 6PM-7PM Pacific Time tomorrow, December 1. You can register at the LinkedIn event page below, as long as there are spaces left (it's limited...

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R still the preferred tool of predictive modelers competing at Kaggle

November 29, 2011
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R still the preferred tool of predictive modelers competing at Kaggle

As reported on the Kaggle blog No Free Hunch, R remains the preferred tool for data scientists seeking to win the prizes in the predictive modeling competitions: More than 30% of Kaggle competitors report using R for their analysis, up from 22% a year ago. R's flexibility and the breadth of packages for machine learning and predictive modeling make...

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How to speed up loops in R

November 28, 2011
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How to speed up loops in R

As with any language, there are often several ways to code up the solution to a programming problem in R. If performance of the code is important (i.e. it's something you plan to run many times, or with a lot of data), how you code the solution can often have a big impact on how fast it runs. For...

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Course: Financial Data Modeling and Analysis in R

November 28, 2011
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The University of Washington is holding a web-based course which will be of interest to anyone who wants to learn about financial modeling with R: Financial Data Modeling and Analysis in R (AMATH 542) is a comprehensive introduction to the R statistical programming language for computational finance offered by the University of Washington Computational Finance program and taught by...

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DecisionStats review of Revolution R Enterprise 5.0

November 23, 2011
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At the DecisionStats blog, Ajay Ohri has published his review of Revolution R Enterprise 5.0. The review includes a slideshow highlighting some of the features of the new release, including the expanded code snippets manager and the new cluster job manager. It's well worth checking out if you'd like a quick overview of what's new in the latest release....

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Why we need to deal with big data in R

November 22, 2011
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Responding to the birth rates analysis in the post earlier this week on big-data analysis with Revolution R Enterprise, Luis Apiolaza asks at the Quantum Forests blog, do we really need to deal with big data in R? My basic question is why would I want to deal with all those 100 million records directly in R? Wouldn’t it...

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Revolution R Enterprise 5.0 now available for free academic download

November 21, 2011
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Revolution R Enterprise 5.0, which we announced last week, is now available for free download to students and faculty at academic institutions worldwide. If you've downloaded Revolution R Enterprise via the academic program before and are on the mailing list, you will have already received an email with download instructions; if not, just complete the form linked below and...

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Analyzing birth rates from census data from RevoScaleR

November 18, 2011
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Analyzing birth rates from census data from RevoScaleR

In yesterday's webinar, "New Features in Revolution R Enterprise 5.0 to Support Scalable Data Analysis", Sue Ranney demonstrated the features of the RevoScaleR big data analysis package included with Revolution R Enterprise. In the webinar, she showed how to use the rxImport function to import big data sets from SAS, SPSS or ODBC, how to use the rxDataStep function...

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