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.

Some recent news: Revolution R is now Microsoft R: 
http://blog.revolutionanalytics.com/2016/01/microsoft-r-open.html

And in case you missed them, here are some articles related to R from the month 
of December:

A look back at accomplishments for the R Project and community in 2015:
http://blog.revolutionanalytics.com/2015/12/rs-year-in-review.html

Segmented regression with the "segmented" package, applied to long-distance 
running records:
http://blog.revolutionanalytics.com/2015/12/using-segmented-regression-to-analyse-world-record-running-times.html
 

Creating multi-tab reports in R with knitr and jQuery UI:
http://blog.revolutionanalytics.com/2015/12/reports-r-jquery.html

New version 2.0 update to ggplot2 adds extensibility and many improvements:
http://blog.revolutionanalytics.com/2015/12/gggplot-version-2-new-features.html

A circle diagram of translations of "Merry Christmas":
http://blog.revolutionanalytics.com/2015/12/all-i-want-for-christmas.html

Upcoming R events and conferences, and sponsorship for R user groups:
http://blog.revolutionanalytics.com/2015/12/looking-forward-to-2016.html

How to embed images in R help pages:
http://blog.revolutionanalytics.com/2015/12/embedding-images-in-r-package-help-pages.html

An Azure ML Studio fraud detection template relies heavily on R components:
http://blog.revolutionanalytics.com/2015/12/fraud-detection-with-r-and-azure.html

R is the fastest-growing language on Stackoverflow, as shown in a subway-style 
rank chart from ggplot2:
http://blog.revolutionanalytics.com/2015/12/r-is-the-fastest-growing-language-on-stackoverflow.html

Buzzfeed is using R for some (serious!) data journalism:
http://blog.revolutionanalytics.com/2015/12/buzzfeed-uses-r-for-data-journalism.html

A tutorial on using SQL Server R Services to analyze a billion taxi rides:
http://blog.revolutionanalytics.com/2015/12/sql-rre-tutorial.html

Some suggestions on how to cryptographically store secrets in R code:
http://blog.revolutionanalytics.com/2015/12/securely-storing-your-secrets-in-r-code.html

Some tips and trade-offs to consider when reading large data files with the 
RevoScaleR package:
http://blog.revolutionanalytics.com/2015/12/trade-offs-to-consider-when-reading-a-large-dataset-into-r-using-the-revoscaler-package.html

A brief summary of improvements in R 3.2.3: 
http://blog.revolutionanalytics.com/2015/12/r-323-released.html

Implementing Wald's sequential analysis test in R:
http://blog.revolutionanalytics.com/2015/12/walds-graphical-sequential-inspection-procedure.html

Using the gtrendsR package to download and chart Google Trends data:
http://blog.revolutionanalytics.com/2015/12/download-and-plot-google-trends-data-with-r.html

Distributed data structures in R with the ddR package:
http://blog.revolutionanalytics.com/2015/12/fun-with-ddr-using-distributed-data-structures-in-r.html

Using the leaflet package to create an interactive, photo-annotated map of GPS 
data from a hike:
http://blog.revolutionanalytics.com/2015/12/document-hikes-with-interactive-leaftlets-and-r.html

Microsoft Azure's Data Science Virtual Machine includes R:
http://blog.revolutionanalytics.com/2015/12/microsoft-data-science.html

Feature selection when modeling wide data sets with genetic algorithms using 
the caret package:
http://blog.revolutionanalytics.com/2015/12/caret-genetic.html

Tips on setting up a virtual machine with RStudio in Azure:
http://blog.revolutionanalytics.com/2015/12/setting-up-an-azure-resource-manager-virtual-machine-with-rstudio.html

Querying recursive CTEs (common table expressions) in a database with the sqldf 
package:
http://blog.revolutionanalytics.com/2015/12/exploring-recursive-ctes-with-sqldf.html

General interest stories (not related to R) in the past month included: your 
Macbook charger has more CPU than the
original Macintosh 
(http://blog.revolutionanalytics.com/2015/12/because-its-friday-smart-charger.html),
 how 5 particles
can jam a hopper 
(http://blog.revolutionanalytics.com/2015/12/because-its-friday-hopper-jams.html),
 and a film based on
the NASA photo archive 
(http://blog.revolutionanalytics.com/2015/12/apollo-film.html).

Meeting times for local R user groups 
(http://blog.revolutionanalytics.com/local-r-groups.html) can be found on the
updated R Community Calendar at: 
http://blog.revolutionanalytics.com/calendar.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

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