[R] Revolutions blog: January 2017 roundup

David Smith davidsmi at microsoft.com
Mon Feb 6 23:20:26 CET 2017

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:

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: 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:

A comprehensive guide to using Git and Github for R projects with RStudio, by Jenny Bryan:

Media reactions to the release of Microsoft R Server 9:

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 workspaces feature of Microsoft R Server 9:

A roundup of the major news about R in 2016:

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

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

As always, thanks for the comments and please keep sending suggestions to me at davidsmi at microsoft.com or via Twitter
(I'm @revodavid).

# 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

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