I 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.
http://bit.ly/dn7DgR linked to 13 videos for learning R, from the basics ("What is R?") to more advanced topics. http://bit.ly/cJUhiY noted the release of R 2.11.1. http://bit.ly/d53tvn announced that Revolution Analytics makes its software available free of charge to the academic community. http://bit.ly/9xCQ83 noted how statistical inference was used to accurately estimate German tank forces in WWII, and linked to an R simulation to verify the calculation. http://bit.ly/b5puKD announced a new website for the R community, www.inside-R.org, sponsored by Revolution Analytics. http://bit.ly/9r85bd linked to a video of economist JD Long explaining why he uses R. http://bit.ly/cySMgE linked to Jeromy Anglim's explanation of the abbreviated names of 150 R functions. http://bit.ly/cEceU8 announced a webinar I gave, Introduction to Revolution R. The live event has passed now, but you can download slides and watch a replay at this link. http://bit.ly/brs2s2 recapped some recent news articles mentioning R and Revolution, in Forbes, The Register, PC World and elsewhere. http://bit.ly/9UDgOL linked to an analysis in R on predicting the outcome of a series of baseball games. http://bit.ly/bJYW9v linked to some materials from the CloudAsia conference on parallel computing in R for life sciences. http://bit.ly/dfb4PA provided a tip on keeping the console window active in the R Productivity Environment GUI. http://bit.ly/aeHO7B announced a webinar on integrating R-based graphs and computations with business intelligence dashboards. (The live event has passed, but you can download slides and a replay at this link.) http://bit.ly/dqr1hc linked to another method of mapping your Twitter social network with R. http://bit.ly/bVI6e9 linked to a video by JD Long on using the Amazon Elastic Map-Reduce system to run large-scale map-reduce calculations in the cloud with R. http://bit.ly/auZ7N8 announced Revolution Analytic's development roadmap for 2010. There are new R user groups in Boston (http://bit.ly/cHedm0) and Atlanta (http://bit.ly/aVo1cI). Also, http://bit.ly/a82GAf noted the list of local R User Groups worldwide at MeetUp.com, and how you can request a new group in your area. Other non-R-related stories in the past month included Google's new BigQuery and Prediction API tools (http://bit.ly/bfEeLm), the effects of volcanic ash on a modern city (http://bit.ly/9qWfQf) and (on a lighter note) the dating equation (http://bit.ly/9LR28N) and a neat, practical optical illusion (http://bit.ly/dsmyov). The R Community Calendar has also been updated 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 da...@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 <da...@revolutionanalytics.com> VP of Marketing, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 330-0553 x205 (Palo Alto, CA, USA) ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
