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 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.
