Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written 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.
And in case you missed them, here are some articles related to R from the month of June: A preview of the tutorials presented at the useR! 2016 conference: http://blog.revolutionanalytics.com/2016/06/the-user-2016-tutorials.html A "advanced beginner's" guide to R published by ComputerWorld includes guides on data wrangling, visualization, and data APIs: http://blog.revolutionanalytics.com/2016/06/computerworlds-advanced-beginners-guide-to-r.html Microsoft R Server now runs on Apache Spark: http://blog.revolutionanalytics.com/2016/06/apache-spark-integrated-with-mrs-for-hadoop.html Recordings of talks at the useR! 2016 are now available to watch and download, with thanks to Microsoft's livestreaming of the conference: http://blog.revolutionanalytics.com/2016/06/livestreaming-of-user-2016-conference.html You can download on-screen actor data for films and TV using R via Amazon's X-ray service: http://blog.revolutionanalytics.com/2016/06/amazon-x-ray-data-provides-insight-into-movie-characters.html A review of new Bayesian statistics packages for R, with a focus on Stan: http://blog.revolutionanalytics.com/2016/06/r-stan-bayesian-stats.html A short summary of the fixes in R 3.3.1, released on June 21: http://blog.revolutionanalytics.com/2016/06/r-331-now-available.html A chart of global internet speeds, created using R: http://blog.revolutionanalytics.com/2016/06/exploring-global-internet-performance-data-using-r.html New features in the forecast package, updated to version 7: http://blog.revolutionanalytics.com/2016/06/updates-to-the-forecast-package-for-r.html This year's Data Journalism Awards Data Visualization of the Year was created with R: http://blog.revolutionanalytics.com/2016/06/data-journalism-awards-data-visualization-of-the-year-2016.html The 150+ R packages presented during useR! 2016: http://blog.revolutionanalytics.com/2016/06/the-r-packages-of-user-2016.html Using GitHub avatars and the Microsoft Face API to estimate gender ratios of programmers by language used (R, C++ and others): http://blog.revolutionanalytics.com/2016/06/programmers-gender.html Using the Data Science Virtual Machine and Microsoft R Server to analyze data from 600 million taxi rides: http://blog.revolutionanalytics.com/2016/06/taxi2.html R is once again the top-ranked software in the KDnuggets annual poll: http://blog.revolutionanalytics.com/2016/06/r-holds-top-ranking-in-kdnuggets-software-poll.html A tutorial on making interactive data maps and charts with R: http://blog.revolutionanalytics.com/2016/06/mapping-in-r.html News from the R Consortium: http://blog.revolutionanalytics.com/2016/06/r-news.html Max Kuhn (author of the caret package) on Bayesian optimization of machine learning models in R: http://blog.revolutionanalytics.com/2016/06/bayesian-optimization-of-machine-learning-models.html Ross Ihaka recounts the history of the R project in an interview for the University of Auckland alumni magazine: http://blog.revolutionanalytics.com/2016/06/ross-ihaka-on-the-history-of-the-r-project.html An R animation shows the ebb and flow of a recent Delaware River flood: http://blog.revolutionanalytics.com/2016/06/visualizing-a-flood-with-r.html A look at comparing statistical models with the caret package: http://blog.revolutionanalytics.com/2016/05/using-caret-to-compare-models.html The mscsweblm4r package provides an R interface to several Microsoft Cognitive Services APIs for text analysis: http://blog.revolutionanalytics.com/2016/06/microsoft-cognitive-services.html General interest stories (not related to R) in the past month included: a screenplay by a robot (http://blog.revolutionanalytics.com/2016/06/because-its-friday-a-robot-writes-a-movie.html), parenting tips (http://blog.revolutionanalytics.com/2016/06/because-its-friday-how-to-get-a-baby-to-sleep.html), contrasts of DNA and ethnicity (http://blog.revolutionanalytics.com/2016/06/because-its-friday-the-dna-journey.html), and some new favourite songs (http://blog.revolutionanalytics.com/2016/06/because-its-friday-late-to-the-party-music.html). Meeting times for local R user groups (http://blog.revolutionanalytics.com/local-r-groups.html) can be found on the updated R Community Calendar 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/. You can receive daily blog posts via email using services like blogtrottr.com. As always, thanks for the comments and please keep sending suggestions to me at david...@microsoft.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <david...@microsoft.com> R Community Lead, Microsoft Tel: +1 (312) 9205766 (Chicago IL, USA) Twitter: @revodavid | Blog: http://blog.revolutionanalytics.com ______________________________________________ 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.