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 March: Francis Smart offers five excellent reasons to use R, and notes that R is the top Google Search for statistical software: http://bit.ly/1dYHrGv Revolution Analytics is offering R training for SAS users in Singapore and online: http://bit.ly/1dYHphT The number of R user groups worldwide continues to grow, and there have already been over 135 meetings in 2014: http://bit.ly/1dYHphV Color palettes for R charts based on the production design of Wes Anderson movies: http://bit.ly/1dYHrGu A history of ensemble methods, by Mike Bowles: http://bit.ly/1dYHrGt An eBook on Big Data and Data Science by the publishers of the Big Data Journal includes articles based on R: http://bit.ly/1dYHphU An in-depth tutorial by Gaston Sanchez on handling character data with R: http://bit.ly/1dYHpi3 Joseph Rickert suggests several large, open data sets you can analyze with R: http://bit.ly/1dYHrGz Rodrigo Zamith updates his web-based application to compare NCAA basketball team performance: http://bit.ly/1dYHpyg Many R projects are under consideration for the 2014 Google Summer of Code: http://bit.ly/1dYHpyh Bob Muenchen shares his secrets of teaching with R: http://bit.ly/1dYHrGA The Atlanta Big Data Analytics Team Challenge sponsored R users to help CARE International: http://bit.ly/1dYHrGB The Human Rights Data Analysis Group uses R and ensemble models to quantify the impact of the war in Syria: http://bit.ly/1dYHrGD An index of contributed R documentation, assembled into an R "meta" book: http://bit.ly/1dYHrGF The deadline for submitting tutorials to the useR! 2014 conference in LA has been extended to April 10: http://bit.ly/1dYHpyk Derek Norton describes how to do ridge regression using the rxCovCor function of the RevoScaleR package: http://bit.ly/1dYHrGG In an op-ed at RSS StatsLife, I review the role of statisticians in data privacy: http://bit.ly/1dYHpyo A brief summary of the improvements in R 3.0.3: http://bit.ly/1dYHpyr Hidden Markov models in R, with application to detection regime-switching events in financial markets: http://bit.ly/1dYHpys Why automating data science is dangerous without human supervision and statistical expertise: http://bit.ly/1dYHpyt A history of Emacs and ESS-mode for R, by Rodney Sparapani: http://bit.ly/1dYHpyv Some news articles about R and Revolution Analytics in Wired, ComputerWorld, Inside BigData and Datanami: http://bit.ly/1dYHpyu Some non-R stories in the past month included: a real photo that looks like Sim City (http://bit.ly/1dYHrWY), a video of Europe's constantly-changing borders (http://bit.ly/1dYHpyw), the new FiveThirtyEight data journalism site (http://bit.ly/1dYHrWZ), bad-mannered cats (http://bit.ly/1dYHpOQ), and a surprising demonstration of change blindness (http://bit.ly/1dYHpOS). 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 . Don't forget you can also follow the blog using an RSS reader, via email using blogtrottr.com, or by following me on 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