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 August: A tutorial on parallel programming with the foreach, doMC and doSNOW packages: http://bit.ly/16fmf8J Joe Rickert reviews R's capabilities for linear algebra, sparse matrices and big matrices: http://bit.ly/16fmgK3 How R is disrupting the insurance industry with big data: http://bit.ly/16fmgK1 Revolution Analytics has teamed with Cloudera to bring statistical models into Hadoop clusters from R: http://bit.ly/16fmgK4 R graphics recognized in DataWeek's Top Innovator award for data visualization: http://bit.ly/16fmgK2 Slides and replay for a new webinar on high-performance predictive analytics in R and Hadoop: http://bit.ly/16fmf8I A catalog of free, public big data sets you can use with R: http://bit.ly/16fmgK5 Demand for employees with R skills continues to rise according to job posting data: http://bit.ly/16fmgK7 . Demand for SAS skills, by contrast, is declining: http://bit.ly/16fmf8K A unique way of looking at (and listening to) the 2008 financial crisis, using R to animate and sonify US Treasury data: http://bit.ly/16fmgK6 The City of Chicago uses R-based semantic analysis of tweets to identify outbreaks of food borne illness: http://bit.ly/16fmf8L Discussions of R, drug development and the FDA from the JSM 2013 conference: http://bit.ly/16fmf8M Statistics from Australian Rules Football games, visualized with R: http://bit.ly/16fmf8N Dr. Rob Hodges used R and NOAA climate sensor data to visualize the strongest winds during the 2005 Katrina hurricane: http://bit.ly/16fmh0k Google has produced a series of introductory videos for beginners to R: http://bit.ly/16fmh0l Nate Silver's presentation at the JSM 2013 conference included 11 principles for journalists to make effective use of Statistics: http://bit.ly/16fmf8O Symphony Analytics uses Revolution R Enterprise to develop solutions in healthcare, retails and telecommunications: http://bit.ly/16fmh0m Rodolfo Vanzini used R and the ggmap package to select a new location for his business: http://bit.ly/16fmh0n Simon Urbanek showed at JSM "Nanocube" based visualization of billions of tweets to explore smartphone market share across the USA: http://bit.ly/16fmf8P Joe Rickert responds to a recent AmstatNews editorial that portrays mainstream academic statisticians as being left behind by the rise of Big Data: http://bit.ly/16fmf8Q Some non-R stories in the past month included: a mathematician and an engineer divide a restaurant bill (http://bit.ly/16fmf8S), an optical illusion makes straight lines look like a rotating circles (http://bit.ly/16fmf8R), misleading weight-loss photos (http://bit.ly/16fmh0q), video of a beautiful eclipse in Australia (http://bit.ly/16fmf8T) and an old-school visualization of 4000 years of works history (http://bit.ly/16fmh0r). 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