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.
In case you missed them, here are some articles related to R from the month of July: http://bit.ly/cXFZrI reviewed the updates to Hadley Wickham's ggplot2 and plyr packages. http://bit.ly/940vKB linked to an article about R co-creator Ross Ihaka in New Zealand's Sunday Star Times. http://bit.ly/au2Mtt noted that the presentations from the R/Finance 2010 conference are available for download. http://bit.ly/cts8L4 reviewed the StatJump website, which uses R graphics to visualize US Census results. http://bit.ly/aMtFFs linked to R-based visualizations of the World Cup, and showed how to download the data from a Google Spreadsheet into R. http://bit.ly/cXuIPR previewed talks from Revolution team members at useR! 2010. (Slides now available at http://user2010.org/presentations.html.) http://bit.ly/ds2kdi reviewed an article from The Data Warehousing Institute (TDWI) where R was called a "Rock Star". http://bit.ly/aDP8wf called for beta testers of Revolution's RevoScaleR package for big data statistics. http://bit.ly/bequuy related how Drew Conway got engaged, and used R to analyze the impact on his fiancée's Facebook wall. http://bit.ly/cdZUSj announced www.inside-r.org, a new community site for R sponsored by Revolution Analytics. http://bit.ly/dfor4g reviewed the talks on Day 1 of the useR! 2010 conference. I also posted some photos from the conference here: http://bit.ly/9mpWYW . http://bit.ly/cyDlDm linked to an extensive list of plaudits for R compiled by Paul Murrell. Revolution CEO Norman Nie continues his media tour, talking about R and Revolution in a radio interview (http://bit.ly/b86nDR) and in print (http://bit.ly/cQPRnP). http://bit.ly/aVSEh2 provides an analysis of the growth in attention about R, from analyst Steve Miller. http://bit.ly/90lMK9 reviews a new, free book on probability and statistics with R (included with the IPSUR package). http://bit.ly/9Ni1ZO links to an analysis of the Wikileaks Afghanistan data done with R. There are new R user groups in Slovenia (http://bit.ly/8YnoUj) and Melbourne (http://bit.ly/cI19w8). Other non-R-related stories in the past month included: using statistics to detect fraud in polling data (http://bit.ly/dDfWPt), an IEEE contest to predict traffic (http://bit.ly/aC9bxZ), a new website for questions about Statistics (http://bit.ly/97quRx), and (on a lighter note), double rainbows (http://bit.ly/cJg4OD). 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.
