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 July: A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R: http://bit.ly/13mf0HX Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that "real analysts use R": http://bit.ly/13mf0HY An excellent example of Simpsons Paradox: US median wages rose overall, but within every educational subgroup, they declined: http://bit.ly/13meXMk Some tips on identifying R functions that will benefit most from byte compilation, and how to enable automatic package compilation: http://bit.ly/13mf0HZ Joe Rickert's poster at useR! 2013 lists the ways that Revolution Analytics supports the R community: http://bit.ly/13meXMl Andrie deVries describes the applications of survival analysis techniques to solve the problem of marketing attribution: http://bit.ly/13mf0I0 A Shiny app by Ramnath Vaidyanathan displays the real-time status of bike-sharing programs in more than 100 cities: http://bit.ly/13mf0I1 The new (and free) O'Reilly mini-book on real-time analytics includes a section on a big-data architecture with R: http://bit.ly/13mf0I2 Thomas Levine's "R spells" includes some useful R tricks you might not know about: http://bit.ly/13mf0I3 A review of the Rcpp tutorial at useR! 2013, with some benchmarked examples combining R and C++ code: http://bit.ly/13meXMo Slides from the Hadoop Summit talk "High Performance Predictive Analytics in R and Hadoop" by Revolution Analytics' US Chief Scientist Mario Inchosa: http://bit.ly/13mf0I4 My two-part review of some talks from the useR! 2013 conference: part 1 http://bit.ly/13mf0I5 and part 2 http://bit.ly/13mf0I6 Joe Rickert looks at the new big-data tree algorithm behind the rxDTree function in the RevoScaleR package: http://bit.ly/13mf3n0 Digital marketing company X+1 uses Revolution R Enterprise for real-time marketing optimization based on statistical models in R: http://bit.ly/13mf3mZ Some highlights from the June 2013 issue of the R Journal: http://bit.ly/13mf0I7 Meet the members of the Revolution Analytics team in London: http://bit.ly/13mf3n1 A map of R user groups worldwide: http://bit.ly/13mf0Yk Highlights and photos from some recent R user group meetings around the world: http://bit.ly/13mf3n2 Some non-R stories in the past month included: what not to do when analyzing data (http://bit.ly/13mf0Ym), results of a survey of data scientists (http://bit.ly/13mf0Yn), a red-hot ball of nickel meets a block of ice (http://bit.ly/13mf0Yl), a lion reunites with his caretakers (http://bit.ly/13mf0Yo) and one picture that looks like four (http://bit.ly/13mf3n3). 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/. Join the Revolution 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, or by following me on Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david at revolutionanalytics.com> VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Seattle WA, USA) Twitter: @revodavid We're hiring! www.revolutionanalytics.com/careers