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 June: You can create a Word document from a template and an R script with the R2DOCX package: http://bit.ly/17XigAJ Joe Rickert reviews books and other resources for learning about time series analysis in R: http://bit.ly/17Xiisn Timely Portfolio covers 15 years of history of time series plotting with R: http://bit.ly/17Xiisp An online beer recommendation application serves as an in-depth example of building a recommendation system with R: http://bit.ly/17XigAK Software company SAP says that "skills around the open source R programming language and advanced analytics are rapidly shifting from 'niche' to 'standard' requirements": http://bit.ly/17Xiiso A primer on maximum likelihood estimation in R with the bbmle package: http://bit.ly/17XigAI American Century Investments describe how they created their own R package to optimize investments and model supplier relationships in a video presentation: http://bit.ly/17Xiisq How to draw attractive decision trees using the rpart.plot package: http://bit.ly/17Xiisr What is a data scientist, what skills should they have, and how is the practice evolving? My take: http://bit.ly/17XigAL Computerworld's 6-part beginner's guide to R: http://bit.ly/17XigAM RStudio has made CRAN download statistics available, enabling a ranking of the top R packages by downloads: http://bit.ly/17XigAN Big Data and statistical modeling is changing video games: helping to identify bottlenecks for new players, detect fraud, and maximize in-app purchases. Details in this webinar replay: http://bit.ly/17Xiiss A mini-tutorial on using the Quandl package to import public financial data sets into R: http://bit.ly/17Xiist Dirk Eddelbuettel's book, Seamless R and C++ Integration with Rcpp, is now available: http://bit.ly/17XigAO An interactive application based on R and Shiny maps dialect differences across the USA: http://bit.ly/17XigAP Generating parallel random number streams with the RevoScaleR package: http://bit.ly/17Xiisu R again shows strong growth in the annual KDNuggets software poll: http://bit.ly/17XigAQ Some very useful guidelines for setting up a reproducible R project: http://bit.ly/17Xiisv Some non-R stories in the past month included: A new Hadoop appliance from Teradata (http://bit.ly/17XigAT), a new Big Data Innovation Center in Singapore (http://bit.ly/17XigAU), a drum/keyboard Billie Jean cover (http://bit.ly/17XigAW), women in movies (http://bit.ly/17XigAV), a Daft Punk / Soul Train mashup (http://bit.ly/17Xiisw), and It Gets Better at NASA (http://bit.ly/17Xiisx). Meeting times for local R user groups (http://blog.revolutionanalytics.com/local-r-groups.html) can be found on the updated R Community Calendar at: http://blog.revolutionanalytics.com/calendar.html 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