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 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.
