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In case you missed it: May 2013 Roundup

In case you missed them, here are some articles from May of particular interest to R users: Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package. A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the trading desk at Credit Suisse. Also, a quick take on some other talks at the meeting. Two new R books to be published in July: Applied Predictive Modeling (Kuhn and Johnson), and Dynamic Documents with R and knitr (Xie). How Google, The New York Times, Facebook, FourSquare, Twitter and other leading companies are using R today.  Sentiment analysis on the Enron emails using R and Infinit.e used to reveal signs of employee anxiety. The 7th R/Rmetrics workshop will take place in Switzerland June 30-July 4.  Highlights from the Milwaukee Workshop on R and Bioinformatics. A script to simulate an escape from a Zombie horde provides useful tips on creating animations in R. R 3.0.1 has been released. The May edition of the Revolution Analytics newsletter, including R training courses and a new gaming webinar on June 13. Social network analysis in R, presented at the New Frontiers in Computing Conference. My somewhat controversial comparison of the terms "Statistics", "Data Science" and "Business Intelligence" (with video for context). An updated list of resources for R users, including the top 3 resources for R beginners. A useful guide to speeding up R code, by Noam Ross. Trevor Hastie presents on lasso and elastic-net regularization with the glmnet package at the Orange County R User Group: http://blog.revolutionanalytics.com/2013/05/hastie-glmnet.html Video replay of the "What's new in Revolution R Enterprise 6.2" webinar. Further critiques of a SAS white paper benchmarking SAS and R. Video replay of my Strata presentation, "Real-time Big Data Analytics: From Deployment to Production". Naive Bayes modeling for big data with the RevoScaleR package. An analysis of CRAN package updates and the most prolific package maintainers. How the New York Times again used R to visualize NFL draft picks. Some non-R stories in the past month included: chaotic double pendulums, Game of Thrones family trees, top Big Data accounts on Twitter, StackExchange for Open Data, logical fallacies, an animation of every known meteorite and places singles meet.  As always, thanks for the comments and please send any suggestions to me at [email protected]. Don't forget you can follow the blog using an RSS reader, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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