I write about R every weekday at the Revolutions blog: 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: The creator of the ggplot2 package, Hadley Wickham, shares details on some forthcoming big-data graphics functions (research sponsored by Revolution Analytics): bit.ly/trFVK6 A list of several dozen free data sources that can easily be imported into R: bit.ly/v28PkM A webinar on November 17 will introduce the new features in Revolution R Enterprise 5.0: bit.ly/so9WZD Bob Muenchen gave a presentation "Introduction to R for SAS and SPSS users"; the slides include many useful resources for new R programmers: bit.ly/sQUqDs Submissions have been posted for the "Applications of R in Business" contest, and your comments will be taken into consideration by the judges: bit.ly/urjg8F How to make a Hallowe'en card with R graphics: bit.ly/rMTMJY An overview of the new features in R 2.14.0: bit.ly/rqLNiQ The Systematic Investor blog shows how to implement an "average correlation" criterion for optimizing portfolios in R: bit.ly/v1UYk1 The Quantum Forest blog includes several worked examples of random-effects modeling with R: bit.ly/rzeugh The New York Times "Bits" blog published an article on Big Data that mentioned R, MapReduce and NoSQL: bit.ly/tvwijq An article in Forbes includes the quote, "Anyone planning to work with Big Data ought to learn Hadoop and R": bit.ly/uf8lLO High-schoolers celebrate World Statistics Day with R: bit.ly/ubU4fE I posted slides from my presentation "100% R and More" on the features Revolution R Enterprise adds to open source R: bit.ly/ugQlse A profile of quantitative developer and author of "R Cookbook", Paul Teetor: bit.ly/sMYRsC A report from the ACM Data Mining Camp includes several applications of R: bit.ly/vIq96a A list of the "Top 50 Statistics Blogs" includes several that post content related to R: bit.ly/uk8kio Antonio Piccolboni gave a presentation to the Bay Area R User Group demonstrating that it's much easer to do K-means clustering in Hadoop with help from R: bit.ly/uPCsAZ R user Yanh Zhan offers seven good reasons to like R: bit.ly/tkkNGF Joseph Rickert reflects on a presentation by Brad Efron on Bayesian Inference: bit.ly/tWKnnC Slides are available for the presentation "Backtesting FINRA's Limit Up/Down Rules", where R was used to investigate the 2010 "Flash Crash" of the stock market: bit.ly/rEl7cS Two NYC-based R users have organized "DataDive" events for data scientists to apply their skills to help non-profit and charity organizations: bit.ly/uHokw0 Oracle has announced a "Big Data Appliance" that incorporates open source R: bit.ly/vKGBWL Other non-R-related stories in the past month included: statisticians in Glamour magazine (bit.ly/w0HsdD ), reviews of the book "A Million Random Digits" (bit.ly/sInHtj ), the good/evil nature of Big Data (bit.ly/uyQgdD ), an even worse use of pie charts than usual (bit.ly/rIYQt4 ), a Rubik's Cube solving robot (bit.ly/tiKD5z ), and a gravity-defying Slinky (bit.ly/tFMH9j ). There is a new R user group (bit.ly/eC5YQe ) in Dublin (bit.ly/sf58rM ). Meeting times for these groups can be found on the updated R Community Calendar at: bit.ly/bb3naW If you're looking for more articles about R, you can find summaries from previous months at blog.revolutionanalytics.com/roundups. Join the Revolution mailing list at 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 like Google Reader, or by following me on Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david at revolutionanalytics.com> VP of Marketing, Revolution Analytics? blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Palo Alto, CA, USA)