In case you missed them, here are some articles from January of particular interest to R users.
The Data Science Virtual Machine on Azure has been updated with the latest Microsoft R Server, and adds RStudio and JuliaPro.
A crowdsourced list of local R user groups and community events, maintained by Colin Gillespie.
Resources for searching R packages, now that CRAN has more than 10,000 of them.
An analysis of 2 decades of Kung Fu movies (with R code) by Jim Vallandingham.
New Zealand's Heartland Bank replaced SAS with Microsoft R Server.
A tutorial on creating a predictive model for the NYC Taxi dataset using the MicrosoftML package in Microsoft R Server.
A list of upcoming R conference and meetings.
The new book Text Mining with R by Julia Silge and David Robinson, also available free online.
A comprehensive guide to using Git and Github for R projects with RStudio, by Jenny Bryan.
A survey by Forwards, the R Foundation taskforce, quantifies diversity in the R community.
A new R package distributes data (and some R code) behind many data journalism features at fivethirtyeight.com.
A collection of Microsoft R Server tips from the customer support team.
R is being used to predict student performance in Australia and India.
A case study in data visualization design: NOAA's flood prediction chart.
StackOverflow has released a dataset of question-and-answer data, which several people have analyzed using R.
Several arguments for why R is the best data science language to learn today.
A tutorial on analyzing emotions in video, using R and the Microsoft Emotion API.
An introduction to the new remote R workspace feature of Microsoft R Server 9.
A roundup of the major news about R in 2016.
As always, thanks for the comments and please send any suggestions to me at [email protected]. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.