Revolution Analytics staff and guests 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 November: Reviews of some of the R-related presentations (by John Chambers, Trevor Hastie and others) at the H20 World conference: http://bit.ly/1608yy5 An R/Shiny app for making egg-nog: http://bit.ly/1608yy6 An author's look at how R was used to create many of the beautiful graphics in the book "London: The Information Capital": http://bit.ly/1608yy4 PhD student Tim Winke used R to explore the popularity of German cars around the globe: http://bit.ly/1608yy8 Twitter has released an R package for breakout detection in time series, that they use to monitor user experience on the site: http://bit.ly/1608AGu Ford's Chief Data Scientist describes various applications where R is used by the auto maker: http://bit.ly/1608yy7 The Bay Area R User Group featured presentations on using R to promote athletes, using R on Azure, and updates to the data.table package: http://bit.ly/1608yyf Analyzing data from the Reddit API with R reveals that not all posts are treated equally when it comes to promotions to the front page: http://bit.ly/1608yyg A new free course on DataCamp provides an introduction to the big-data features of Revolution R Enterprise: http://bit.ly/1608yye Learn about Revolution R Open and Deploy R Open, new open-source projects from Revolution Analytics, in this recorded webinar: http://bit.ly/1608AWK R is now #12 in the Tiobe index of programming language popularity, its highest rank ever: http://bit.ly/1608AWJ A look at the popular igraph package for drawing networks and connected graphs with R: http://bit.ly/1608AWI How to create 3D-graphics that you can interactively rotate on-screen with plotly and ggplot2: http://bit.ly/1608AWL Some performance benchmarks of Revolution R Open on Linux, with comparisons to other multithreaded BLAS libraries: http://bit.ly/1608AWO Working with a large and messy data set with R packages and Revolution R Enterprise: http://bit.ly/1608yyj Revolution R Enterprise 7.3 is now available, with a new Stochastic Gradient Boosting algorithm for very large data sets: http://bit.ly/1608yyi Stanford PhD candidate Peggy Fan explores the World Values Survey data with R and Shiny: http://bit.ly/1608AWN A short video describes how R programs can run in the Azure cloud and be connected to other applications: http://bit.ly/1608AWM General interest stories (not related to R) in the past month included: Too Many Cooks, a bizarre satire video (http://bit.ly/1608AWP) and how Interstellar advanced the science of black holes (http://bit.ly/1608AWR). 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/. You can receive daily blog posts via email using services like blogtrottr.com, or join the Revolution Analytics 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 or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <da...@revolutionanalytics.com> Chief Community Officer, Revolution Analytics http://blog.revolutionanalytics.com Tel: +1 (650) 646-9523 (Chicago IL, USA) Twitter: @revodavid -- Revolution R Plus <http://revolutionanalytics.com/plus> Subscribe to Technical Support & Indemnification for R ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
