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 May: Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package: http://bit.ly/111ZQq4 A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the trading desk at Credit Suisse: http://bit.ly/111ZQq5 . Also, a quick take on some other talks at the meeting: http://bit.ly/111ZQq6 Two new R books to be published in July: Applied Predictive Modeling (Kuhn and Johnson), and Dynamic Documents with R and knitr (Xie) http://bit.ly/111ZQq3 Some organizations using R in 2013: Google, The New York Times, Facebook, FourSquare, Twitter, John Deere, Zillow, FDA, NOAA and CFPB: http://bit.ly/111ZOOX Sentiment analysis on the Enron emails using R and Infinit.e used to reveal signs of employee anxiety: http://bit.ly/111ZOOW The 7th R/Rmetrics workshop will take place in Switzerland June 30-July 4: http://bit.ly/111ZOOY Highlights from the Milwaukee Workshop on R and Bioinformatics: http://bit.ly/111ZOOZ An R script to simulate and animate an escape from a Zombie horde: http://bit.ly/111ZQq7 R 3.0.1 has been released: http://bit.ly/111ZOP1 The May edition of the Revolution Analytics newsletter, including R training courses and a new gaming webinar on June 13: http://bit.ly/111ZQq8 Social network analysis in R, presented at the New Frontiers in Computing Conference: http://bit.ly/111ZOP0 My somewhat controversial comparison of the terms "Statistics", "Data Science" and "Business Intelligence" (with video for context): http://bit.ly/111ZOP3 An updated list of resources for R users, including the top 3 resources for R beginners: http://bit.ly/111ZOP2 Noam Ross's useful guide to speeding up R code: http://bit.ly/111ZQqc Trevor Hastie presents on lasso and elastic-net regularization with the glmnet package at the Orange County R User Group: http://bit.ly/111ZQqb Video replay of the "What's new in Revolution R Enterprise 6.2" webinar: http://bit.ly/111ZOP4 Further critiques of a SAS white paper benchmarking SAS and R: http://bit.ly/111ZQqd Video replay of my Strata presentation, "Real-time Big Data Analytics: >From Deployment to Production": http://bit.ly/111ZOP5 Naive Bayes modeling for big data with the RevoScaleR package: http://bit.ly/111ZQqe An analysis of CRAN package updates and the most prolific package maintainers: http://bit.ly/111ZQqf The New York Times again uses R to develop an on-line data visualization, this time on NFL draft data: http://bit.ly/111ZOP6 Some non-R stories in the past month included: chaotic double pendulums (http://bit.ly/111ZQqg), Game of Thrones family trees (http://bit.ly/111ZOP7), top Big Data accounts on Twitter (http://bit.ly/111ZOP8), StackExchange for Open Data (http://bit.ly/111ZOP9), logical fallacies (http://bit.ly/111ZOPa), an animation of every known meteorite (http://bit.ly/111ZQqh) and places singles meet (http://bit.ly/111ZOPb). 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 da...@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 <da...@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 ______________________________________________ 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.
