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 May: Karl Broman's hipsteR guide lists some new(ish) features of R that early adopters may have missed: http://bit.ly/1mki3ZJ Joseph Rickert reviews the R/Finance 2014 conference and summarizes the R packages presented there: http://bit.ly/1mki3ZK . Plus, a review of R's impact on computational finance, with links to many resources: http://bit.ly/1mki7bT A webinar presentation compares the speed of Revolution R Enterprise and SAS for statistical calculations on large data sets: http://bit.ly/1mki3ZI A tutorial on the "plotly" R package to generate online plotly graphics from R graphics commands: http://bit.ly/1mki7bU . If you're new to plotly, here's an introduction: http://bit.ly/1mki7bS . My new presentation describes how more than 20 companies and organizations use R to analyze data: http://bit.ly/1mki3ZM A review of Generalized Linear Models in R: the glm function (http://bit.ly/1mki3ZL), and R packages for fitting GLMs to large data sets (http://bit.ly/1mki7bX). A Microsoft paper describes the Bayesian model behind multiplayer matchmaking in online Xbox games: http://bit.ly/1mki3ZN Continuing his series of posts about ensemble models, Mike Bowles looks at big-data random forests with Revolution R Enterprise: http://bit.ly/1mki7bY R will be used to design the T-shirt for the useR! 2014 conference: http://bit.ly/1mki7bZ Data scientists at Facebook present an online course on exploratory data analysis with R: http://bit.ly/1mki3ZO A scientist uses self-experimentation and R to find the worst place to be stung by a bee: http://bit.ly/1mki3ZP Scott Chamberlain's "R for Cats" is a fun introduction to the R language: http://bit.ly/1mki7c0 A feature article in Fast Company Labs looks at how R is used at companies: http://bit.ly/1mki3ZR Using Rcpp to speed up code investigating the Collatz Conjecture: http://bit.ly/1mki7c1 Revolution Analytics introduces AdviseR, a service offering technical support to all R users: http://bit.ly/1fVDy6p R used to evaluate strategies for playing the games "2048" and "Threes": http://bit.ly/1mki7c3 Importing semistructured data with the rxImport function of Revolution R Enterprise: http://bit.ly/1mki7c2 General interest stories (not related to R) in the past month included: fast-running robots (http://bit.ly/1mki3ZU), gravity-defying magnets (http://bit.ly/1mki3ZT) and a self-destructing washing machine (http://bit.ly/1mki7c4). 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 -- Try Enterprise R Now! <https://aws.amazon.com/marketplace/seller-profile/ref=_ptnr_emailfooter?ie=UTF8&id=3c6536d3-8115-4bc0-a713-be58e257a7be> Get a 14 Day Free Trial of Revolution R Enterprise on AWS Marketplace