For more than 6 years, Revolution Analytics staff and guests have written 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 February: The John M. Chambers Statistical Software Award announcement for 2015: http://bit.ly/1CWIfXT The new R package "distcomp" allows researchers to collaborate on data spread across multiple sites: http://bit.ly/1CWIfXU I gave an interview to theCUBE on R, data science, and Microsoft's acquisition of Revolution Analytics: http://bit.ly/1CWIfaC R is used to measure impact of climate change, and other Strata keynote presentations: http://bit.ly/1CWIfqQ Some tricks for monitoring the progress on parallel R jobs using foreach: http://bit.ly/1CWIfaD "Analytics Marketplaces" are all the rage today, but CRAN was there first: http://bit.ly/1CWIfXS A preview of some of the major R-related conferences and events of 2015: http://bit.ly/1CWIfXV The checkpoint package has been updated to make it even easier to run R scripts with fixed R package versions: http://bit.ly/1CWIfqS A tutorial to introduce R to users of Microsoft Excel: http://bit.ly/1CWIfqT R used to assess the "virality" of posts on new-media sites like Buzzfeed: http://bit.ly/1CWIfqU A review of the HP Workshop on Distributed Computing in R featuring Luke Tierney, Dirk Eddelbuettel, Martin Morgan, Simon Urbanek and other R luminaries: http://bit.ly/1CWIfXX R is the top-ranked language on GitHub, as measured by the number of forks per repository: http://bit.ly/1CWIfXW You can use the rcrunchbase package to access data on startup companies: http://bit.ly/1CWIfXY The R package "syuzhet" applies sentiment analysis to novels to infer their dramatic arc: http://bit.ly/1CWIfqX The new "quickcheck" package provides assertion-based testing with random inputs for R: http://bit.ly/1CWIfqY A theorem for calculating an upper bound for the generalization error of a machine learning classifier: http://bit.ly/1CWIfXZ Some practical advice for sharing Shiny applications with shinyapps.io: http://bit.ly/1CWIfqZ A visualization of Paris's street orientations reveals the history of the city: http://bit.ly/1CWIfY0 General interest stories (not related to R) in the past month included: how our brains trick us into seeing the wrong colors (http://bit.ly/1CWIfr0), an hilarious parody of cooking shows (http://bit.ly/1CWIfr4), a new ASA website to help journalists with Statistics (http://bit.ly/1CWIfY1), the statistical model behind the rules of cricket (http://bit.ly/1CWIfY2), and why rivers meander (http://bit.ly/1CWIfr6). 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 (Chicago IL, USA) Twitter: @revodavid