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 November: Microsoft R Open 3.3.2, based on R 3.3.2, has been released for Windows, Mac and Linux: http://blog.revolutionanalytics.com/2016/11/mro-332-now-available.html A new, free course on EdX focuses on the big-data extensions of Microsoft R Server: http://blog.revolutionanalytics.com/2016/11/edx-microsoft-r.html Using ggplot2 to create a calendar heat map of city bike usage in Chicago: http://blog.revolutionanalytics.com/2016/11/divvy-chicago.html A tutorial on creating an in-database rental prediction service for a ski shop with SQL Server R Services: http://blog.revolutionanalytics.com/2016/11/r-services-intelligent-app.html Detailed R code to calculate AUC, the area under a ROC curve: http://blog.revolutionanalytics.com/2016/11/calculating-auc.html Rankings of the 5 most popular R packages by downloads (with and without dependencies): http://blog.revolutionanalytics.com/2016/11/most-popular-r-packages.html Using computer vision algorithms from R to find images in a photomosaic: http://blog.revolutionanalytics.com/2016/11/deep-learning-mona-lisa.html Airbnb has released the knowledge repository they use to share data science reports generated using R: http://blog.revolutionanalytics.com/2016/11/airbnb-growth.html Using the sparklyr package to manipulate data on Azure HDInsight: http://blog.revolutionanalytics.com/2016/11/data-manipulation-with-sparklyr-on-azure-hdinsight.html The dplyrXdf package has been updated to provide subsetting and column subsetting for out-of-memory XDF files: http://blog.revolutionanalytics.com/2016/11/update-to-dplyrxdf.html RStudio v1.0 has been released: http://blog.revolutionanalytics.com/2016/11/rstudio-v10-released.html Charting historical baseball statistics with the Lahman package: http://blog.revolutionanalytics.com/2016/11/a-look-back-at-the-cubs-and-indians-performance.html This Bayesian US election prediction model, implemented with R and Stan, turned out to be not so successful: http://blog.revolutionanalytics.com/2016/11/a-bayesian-election-forecast.html Making elastic net regression with glmnet a little easier: the glmnetUtils package: http://blog.revolutionanalytics.com/2016/11/glmnetutils.html A list of notable new and updated R packages: http://blog.revolutionanalytics.com/2016/11/spotlights-october-2016.html A tutorial on calling the Cognitive Services text analytics APIs from R: http://blog.revolutionanalytics.com/2016/11/how-to-call-cognitive-services-apis-with-r.html Some lessons and examples on migrating financial data applications from SAS to R: http://blog.revolutionanalytics.com/2016/11/sas-to-r-migration.html General interest stories (not related to R) in the past month included: giving thanks (http://blog.revolutionanalytics.com/2016/11/happy-thanksgiving.html), non-transitive dice (http://blog.revolutionanalytics.com/2016/11/because-its-friday-non-transitive-dice.html), the most unsatisfying film (http://blog.revolutionanalytics.com/2016/11/because-its-friday-current-status.html), the US election surprise (http://blog.revolutionanalytics.com/2016/11/how-did-the-election-forecasts-get-it-so-wrong.html), and the Cubs win (http://blog.revolutionanalytics.com/2016/11/because-its-friday-we-went-all-the-way.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 davidsmi at microsoft.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <davidsmi at microsoft.com> R Community Lead, Microsoft? Tel: +1 (312) 9205766 (Chicago IL, USA) Twitter: @revodavid | Blog: ?http://blog.revolutionanalytics.com