In case you missed them, here are some articles from February of particular interest to R users. February 29 marked the 12th anniversary of the release of R 1.0.0, and the release of R 2.14.2. A list of commercial vendors who have integrated R with their products for data, analysis, and presentation. The rmr package (part of the RHadoop...
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R Meets Java: An Absolute Beginners’ Introduction
My guess is R is most commonly integrated with C/C++ to handle heavy-duty computing. (thanks in no small part due to the productivity of Dick Eddlebuttle!) That said, if you’re like most statisticians and physical scientists and aren’t already a programming...
Slides from today’s Big Data Step-by-Step Tutorials: Infrastructure series and Intro to R+Hadoop with RHadoop’s rmr
Slides from the Boston Predictive Analytics Big Data Workshop tutorials:
Big Data Step-by-Step: Infrastructure 1/3: Local VM
Big Data Step-by-Step: Infrastructure 2/3: Running R and RStudio on EC2
Big Data Step-by-Step: Infrastructure 3/3: Taking it to the cloud... easily... with Whirr
Big Data Step-by-Step: Using R & Hadoop (with RHadoop's rmr package)
R integrated throughout the enterprise analytics stack
The past couple of years have seen a dramatic growth in the use of the R language in the enterprise. R has always been pervasive in academia for research and teaching in statistics and data science, and as new graduates trained in R have migrated to the workplace the demand for R in corporations has become more and more...
RHadoop updated: improved performance and more control
Revolution Analytics' open-source RHadoop project, which provides integration between R and Hadoop, has been updated with the release of version 1.2 of the "rmr" package. New in this version: support for binary I/O formats, which improves on the text-only interfact by allowing use of faster and more space-efficient data formats like R's native serialization format. This version also improves...
Revolution Analytics at Strata 2012
One of my favourite conferences, Strata: Making Data Work, starts tomorrow in Santa Clara, CA. Revolution Analytics is a proud sponsor, and I'll be there with the team to listen to some great talks and to meet other R users at our booth in the exhibition hall. There will be several R-related talks and tutorials during the conference, including...
Revolution Newsletter: February 2012
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Revolution Analytics Welcomes New CEO, Dave Rich. Dave joins the Revolution team from Accenture...
R Chart featured in Facebook IPO
Page 7 of Facebook's 213-page S-1 filing for their record-breaking IPO includes the following chart, under the headline: "Our Mission: To make the world more open and connected". This chart was created using the R language and Hadoop by Facebook intern Paul Butler. (Thanks to the blog IOER Tools for first noticing the inclusion of the chart.) And speaking...
Pre-conference tutorials announced for useR! 2012
The worldwide R user conference, useR! 2012, will take place this year June 12-15 in Nashville, Tennessee. In addition to the regular program of invited and contributed talks, a highlight of every useR! is the pre-conference tutorials: hand-on, half-day in-depth expert-led sessions with a focused on a specific area of methodology with R. This year's roster of tutorials has...
Announcing the winners of the Applications of R in Business contest
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,...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
