Revolution Analytics staff write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of April: Registration is now open for the useR! 2014 R conference in Los Angeles: http://bit.ly/1fVDvaK A new program from Revolution Analytics offers technical support to users of open source R worldwide: http://bit.ly/1fVDy6p A new Kaggle competition challenges R users to predict which shoppers will become repeat buyers: http://bit.ly/1fVDy6q Rapporter.net collects data on R usage around the world and displays it as an interative map: http://bit.ly/1fVDvaL The New York Times publishes the R code behind their new US Senate election forecast feature: http://bit.ly/1fVDy6o Talent Analytics uses R to understand the factors that lead employees to resign: http://bit.ly/1fVDvaM Thomas Dinsmore compares performance benchmarks for SAS and Revolution R Enterprise: http://bit.ly/1fVDy6r A succinct example of Simpson's Paradox: "Good for women, good for men, bad for people": http://bit.ly/1fVDvaN A replay of the Revolution Analytics webinar, Big-Data Trees for R: http://bit.ly/1fVDy6s A local newspaper features R and the weatherData package: http://bit.ly/1fVDvaO I talked about data scientists using R in a DM Radio podcast: http://bit.ly/1fVDvaP A look at the R H2O package, which provides an interface to the 0xdata distributed algorithms: http://bit.ly/1fVDy6t Some great examples of vectorized programming in R: http://bit.ly/1fVDvaQ Monte-Carlo simulation of financial time series: http://bit.ly/1fVDy6u A new CRAN task view dedicated to interfacing R with social media, open data, and other Web technologies: http://bit.ly/1fVDy6v An R script to create an impressionistic avatar from your Twitter followers: http://bit.ly/1fVDvaR A summary of the new features in R 3.1.0 "Spring Dance": http://bit.ly/1fVDy6w R used to analyze character connections in the script of the Star Wars movies, and other applications: http://bit.ly/1fVDvaS The chloroplethr package can now create animated data maps: http://bit.ly/1fVDy6y A new R-based blog from Norman Matloff, author of The Art of R Programming: http://bit.ly/1fVDvaT A overview of R packages for ensemble modeling: http://bit.ly/1fVDy6C An in-depth article in FastCompany Labs surveys open science with R: http://bit.ly/1fVDvaU A list of R packages and resources for generalized linear modeling: http://bit.ly/1fVDy6A Seven data points quantifying the recent growth of R: http://bit.ly/1fVDy6B An example of vectorization in R, looking at the Collatz Conjecture: http://bit.ly/1fVDvaV General interest stories (not related to R) in the past month included: visible sound (http://bit.ly/1fVDvaW), how dogs react to magic (http://bit.ly/1fVDy6D), the generic brand video (http://bit.ly/1fVDy6E), arguments pro and con for Big Data (http://bit.ly/1fVDy6G) and the 2048 game (http://bit.ly/1fVDy6F). Meeting times for local R user groups (http://bit.ly/eC5YQe) can be found on the updated R Community Calendar at: http://bit.ly/bb3naW If you're looking for more articles about R, you can find summaries from previous months at http://blog.revolutionanalytics.com/roundups/. You can receive daily blog posts via email using services like blogtrottr.com, or join the Revolution Analytics mailing list at http://revolutionanalytics.com/newsletter to be alerted to new articles on a monthly basis. As always, thanks for the comments and please keep sending suggestions to me at david at revolutionanalytics.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david at revolutionanalytics.com> Chief Community Officer, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Seattle WA, USA) Twitter: @revodavid