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In case you missed it: May 2014 Roundup

In case you missed them, here are some articles from May of particular interest to R users:   Karl Broman's hipsteR guide lists some new(ish) features of R that early adopters may have missed. Joseph Rickert reviews the R/Finance 2014 conference and summarizes the R packages presented there. Plus, a review of R's impact on computational finance, with links to many resources. A recent Revolution Analytics webinar compares the speed of Revolution R Enterprise and SAS for statistical calculations on large data sets. A tutorial on the "plotly" R package to generate online plotly graphics from R graphics commands. If you're new to plotly, here's an introduction. David Smith's keynote presentation at the China R Users Conference describes how many companies and organizations use R to analyze data. A review of Generalized Linear Models in R: the glm function, and R packages for fitting GLMs to large data sets. A Microsoft paper describes the Bayesian model behind multiplayer matchmaking in online Xbox games. Continuing his series of posts about ensemble models, Mike Bowles looks at big-data random forests with Revolution R Enterprise. R will be used to design the T-shirt for the useR! 2014 conference. Data scientists at Facebook present an online course on exploratory data analysis with R. A scientist uses self-experimentation and R to find the worst place to be stung by a bee. Scott Chamberlain's "R for Cats" is a fun introduction to the R language. A feature article in FastCoLabs looks at how R is used at companies. Using Rcpp to speed up code investigating the Collatz Conjecture. Revolution Analytics introduces AdviseR, a service offering technical support to all R users. R used to evaluate strategies for playing the games "2048" and "Threes". A tutorial on importing semistructured data with the rxImport function of Revolution R Enterprise.  General interest stories (not related to R) in the past month included: fast-running robots, gravity-defying magnets and a self-destructing washing machine.  As always, thanks for the comments and please send any suggestions to me [email protected] Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter ([email protected]). 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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