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Big Data Journal Authors: David Fletcher, Saar Bitner, Jason Bloomberg, Jnan Dash, Carmen Gonzalez

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In case you missed it: April 2014 roundup

In case you missed them, here are some articles from April of particular interest to R users:   Registration is now open for the useR! 2014 R conference in Los Angeles.  A new Kaggle competition challenges R users to predict which shoppers will become repeat buyers. Data on R usage around the world, presented as an interative map.  The New York Times publishes the R code behind their new US Senate election forecast feature. Talent Analytics uses R to understand the factors that lead employees to resign. Thomas Dinsmore compares performance benchmarks for SAS and Revolution R Enterprise. A succinct example of Simpson's Paradox: "Good for women, good for men, bad for people". A replay of the Revolution Analytics webinar, Big-Data Trees for R. A local newspaper features R and the weatherData package. I talked about data scientists using R in a DM Radio podcast. A look at the R H2O package, which provides an interface to the 0xdata distributed algorithms. Some practical examples explain why vectorized programming in R improves code clarity and performance.  Revolution Analytics' Daniel Hanson provides an introduction to Monte-Carlo simulation of financial time series. A new CRAN task view dedicated to interfacing R with social media, open data, and other Web technologies. An R script to create an impressionistic avatar from your Twitter followers.  A summary of the new features in R 3.1.0 "Spring Dance".  R used to analyze character connections in the Star Wars movies, and other applications presented at the Bay Area R Users Group. The chloroplethr package can now create animated data maps. A new R-based blog from Norman Matloff, author of The Art of R Programming. A comprehensive overview of R packages for ensemble modeling  A list of R packages and resources for generalized linear modeling. An in-depth article in FastCompany Labs surveys open science with R.  Seven data points quantifying the recent growth of R. An example of vectorization in R, looking at the Collatz Conjecture. General interest stories (not related to R) in the past month included: visible sound, how dogs react to magic, the generic brand video, arguments pro and con for Big Data and the 2048 game. 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, via email using blogtrottr, 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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