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 October: A brief summary of the R 3.3.2 release: http://blog.revolutionanalytics.com/2016/10/r-332-now-available.html "Data Science with SQL Server 2016", a free E-book featuring several in-depth R examples, is now available for download: http://blog.revolutionanalytics.com/2016/10/data-science-with-sql-server-2016.html The ReporterRs package makes it easy to insert R output, tables and graphics into Word and Powerpoint templates: http://blog.revolutionanalytics.com/2016/10/reporters.html R-hub, an on-line service to build and check R packages on multiple platforms, is now in public beta test: http://blog.revolutionanalytics.com/2016/10/r-hub-public-beta.html A style guide for R programs from Graham Williams, creator of rattle: http://blog.revolutionanalytics.com/2016/10/sharing-r-code-with-style.html The Economist used R and the Emotion API to track emotions of the US presidential candidates during the debates: http://blog.revolutionanalytics.com/2016/10/debate-emotions.html A new R Graph Gallery by Yan Holtz contains hundreds of data charts and their R code: http://blog.revolutionanalytics.com/2016/10/the-r-graph-gallery-is-back.html R Tools for Visual Studio 0.5 adds support for publishing R code as a SQL Server stored procedure: http://blog.revolutionanalytics.com/2016/10/rtvs-05-now-available.html After an accident, a data scientist estimates the value of a written-off vehicle with R: http://blog.revolutionanalytics.com/2016/10/car-valuation.html The "Team Data Science Process" and two new open-source projects from Microsoft: a visualization and exploration framework; and a statistical reporting tool based on caret: http://blog.revolutionanalytics.com/2016/10/the-team-data-science-process.html An R function for "tilegrams", like US maps with states scaled to electoral college votes: http://blog.revolutionanalytics.com/2016/10/tilegrams-in-r.html Upcoming data science courses in Zurich, Oslo and Stockholm: http://blog.revolutionanalytics.com/2016/10/practical-data-science.html A tutorial on using R on Spark with SparkR, sparklyr, and RevoScaleR: http://blog.revolutionanalytics.com/2016/10/tutorial-scalable-r-on-spark.html An animated globe showing the impact of climate change, created with R: http://blog.revolutionanalytics.com/2016/10/warming-globe.html The ggiraph package makes it easy to add interactivity to ggplot2 graphics on the web: http://blog.revolutionanalytics.com/2016/10/make-ggplot-graphics2-interactive-with-ggiraph.html The haven package supports reading SAS, SPSS, Stata and other data file formats into R: http://blog.revolutionanalytics.com/2016/10/import-data-to-r-from-other-statistics-tools-with-haven.html More than half of published papers in Psychology contain at least one statistical reporting error, the statcheck package reveals: http://blog.revolutionanalytics.com/2016/10/statcheck.html Build data pipelines with Azure Data Factory and Microsoft R Server: http://blog.revolutionanalytics.com/2016/10/r-server-data-factory.html R used to analyze the scripts of "The Simpsons", and create a chart in the cartoon's unique style: http://blog.revolutionanalytics.com/2016/10/homer-not-bart-is-the-star-of-the-simpsons.html General interest stories (not related to R) in the past month included: rules for rulers (http://blog.revolutionanalytics.com/2016/10/because-its-friday-dictators.html), a Hitchcock-Kubrick video mashup (http://blog.revolutionanalytics.com/2016/10/because-its-friday-hitchcock-vs-kubrick.html), the Earth from the Moon (http://blog.revolutionanalytics.com/2016/10/because-its-friday-earthrise.html), and the Dear Data project (http://blog.revolutionanalytics.com/2016/10/because-its-friday-dear-data.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