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 January: The Data Science Virtual Machine on Azure has been updated with the latest Microsoft R Server, and adds RStudio and JuliaPro: http://blog.revolutionanalytics.com/2017/01/dsvm-updated-now-includes-rstudio.html A crowdsourced list of local R user groups and community events, maintained by Colin Gillespie: http://blog.revolutionanalytics.com/2017/01/list-of-r-conferences-and-user-groups.html Resources for searching R packages, now that CRAN has more than 10,000 of them: http://blog.revolutionanalytics.com/2017/01/cran-10000.html An analysis of 2 decades of Kung Fu movies (with R code) by Jim Vallandingham: http://blog.revolutionanalytics.com/2017/01/kung-fu-r.html New Zealand's Heartland Bank replaced SAS with Microsoft R Server: http://blog.revolutionanalytics.com/2017/01/nz-bank-replaces-sas-with-r.html A tutorial on creating a predictive model for the NYC Taxi dataset using the MicrosoftML package in Microsoft R Server: http://blog.revolutionanalytics.com/2017/01/microsoftml-taxi-trips.html A list of upcoming R conference and meetings: http://blog.revolutionanalytics.com/2017/01/upcoming-r-conferences.html The new book "Text Mining with R" by Julia Silge and David Robinson, also available free online: http://blog.revolutionanalytics.com/2017/01/free-guide-to-text-mining-with-r.html A comprehensive guide to using Git and Github for R projects with RStudio, by Jenny Bryan: http://blog.revolutionanalytics.com/2017/01/git-gud-with-git-and-r.html Media reactions to the release of Microsoft R Server 9: http://blog.revolutionanalytics.com/2017/01/microsoft-r-server-in-the-news.html A survey by Forwards, the R Foundation taskforce, quantifies diversity in the R community: http://blog.revolutionanalytics.com/2017/01/diversity-in-the-r-community.html A new R package distributes data (and some R code) behind many data journalism features at fivethirtyeight.com: http://blog.revolutionanalytics.com/2017/01/the-fivethirtyeight-r-package.html A collection of Microsoft R Server tips from the customer support team: http://blog.revolutionanalytics.com/2017/01/tiger-team-tips.html R is being used to predict student performance in Australia and India: http://blog.revolutionanalytics.com/2017/01/education-analytics.html A case study in data visualization design: NOAA's flood prediction chart: http://blog.revolutionanalytics.com/2017/01/the-anatomy-of-a-useful-chart.html StackOverflow has released a dataset of question-and-answer data, which several people have analyzed using R: http://blog.revolutionanalytics.com/2017/01/stackoverflow-insights.html Several arguments for why R is the best data science language to learn today: http://blog.revolutionanalytics.com/2017/01/three-reasons-to-learn-r-today.html A tutorial on analyzing emotions in video, using R and the Microsoft Emotion API: http://blog.revolutionanalytics.com/2017/01/analyzing-emotions-in-video-with-r.html An introduction to the new remote R workspaces feature of Microsoft R Server 9: http://blog.revolutionanalytics.com/2017/01/remote-and-local-r-workspaces.html A roundup of the major news about R in 2016: http://blog.revolutionanalytics.com/2017/01/the-biggest-r-stories-from-2016.html General interest stories (not related to R) in the past month included: rearranged continents (http://blog.revolutionanalytics.com/2017/01/because-its-friday-tangram-earth.html), a collapsing bridge (http://blog.revolutionanalytics.com/2017/01/because-its-friday-infrastructure-collapses.html), satire for coders (http://blog.revolutionanalytics.com/2017/01/because-its-friday-code-burn.html), and crafty photographer tricks (http://blog.revolutionanalytics.com/2017/01/because-its-friday-photography-tricks.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.
