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 October: Joe Rickert recounts the R presence at the Strata + Hadoop World conference, including slides from the R and Hadoop tutorial: http://bit.ly/1acPavl Hadley Wickham's favorite tools, gadgets and software (including of course R): http://bit.ly/1acPavm Revolution R Enterprise 7 is announced, including R 3.0.2: http://bit.ly/1acP8DM I was interviewed on camera by theCUBE about R, data science, and Revolution R Enterprise 7: http://bit.ly/1acP8DO Patrick Burns shares some good reasons for switching from spreadsheets to R for data analysis: http://bit.ly/1acP8DN R is used for several sports-related analyses at the The New England Symposium of Statistics in Sport: http://bit.ly/1acPavk Some tips for using the .Rprofile file to customize your R session at startup: http://bit.ly/1acP8DP Quandl?s introduction to econometrics using R: http://bit.ly/1acPavr Video replay of a recent webinar by DataSong on implementing time-to-event models with Revolution R Enterprise: http://bit.ly/1acP8DQ Revolution R Enterprise is now integrated with Alteryx to provide a drag-and-drop GUI workflow for R: http://bit.ly/1acPavt An article in Forbes discusses using R from the Alteryx drag-and-drop workflow interface: http://bit.ly/1acPavs Joe Rickert reviews the sessions at the ACM 2013 Big Data Camp: http://bit.ly/1acP8DR The New York Times published an article on fantasy football analysis with R: http://bit.ly/1acPaLG The latest Rexer poll shows the use of R continues to skyrocket. It?s the most popular data mining tool by a wide margin: http://bit.ly/1acPaLH Replays of two recent webinar presentations on using R on Hadoop, presented by Cloudera http://bit.ly/1acPaLI and Hortonworks http://bit.ly/1acP8U8 in conjunction with Revolution Analytics. Tips and resources for using R for signal processing and time series analysis: http://bit.ly/1acP8U7 The popular data-visualization software Tableau adds integration with R: http://bit.ly/1acP8U5 An interactive web tool explains Simpson?s paradox: http://bit.ly/1acPaLJ R-related presentations from the DataWeek 2013 conference, including how an IBM division replaced SAS with R: http://bit.ly/1acP8U9 Some non-R stories in the past month included: remembering video stores (http://bit.ly/1acP8Ub), some optical illusion trickery (http://bit.ly/1acPaLK), better voting systems (http://bit.ly/1acPaLL), a funny interpretation of air safety videos (http://bit.ly/1acP8Ua) and a discussion on how to get ROT from analytics (http://bit.ly/1acPaLM). 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://bit.ly/MH2I2Q 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