[R] Revolutions blog: January 2016 roundup

[David Smith]

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:

Animated visualizations and analysis of data from NYC's municipal bike program, created with R:
http://blog.revolutionanalytics.com/2016/01/new-yorkers-municipal-bikes-and-the-weather.html

Many local R user groups are sharing materials from meetups using Github:
http://blog.revolutionanalytics.com/2016/01/r-user-groups-on-github.html

A detailed R tutorial on analyzing your Twitter archive and performing sentiment analysis:
http://blog.revolutionanalytics.com/2016/01/twitter-sentiment.html

How to combine R and Python in Jupyter notebooks: http://blog.revolutionanalytics.com/2016/01/pipelining-r-python.html

Many datasets are available for analysis in R using Kaggle's online platform, including the American Community Survey:
http://blog.revolutionanalytics.com/2016/01/american-community-survey-analyzed-with-r.html

Getting started with Markov Chains in R
http://blog.revolutionanalytics.com/2016/01/getting-started-with-markov-chains.html and even more R packages for Markov
Chain analysis: http://blog.revolutionanalytics.com/2016/01/markov-chains-part-2.html

Replays are available for recent webinars on Microsoft R Open and Microsoft R Server:
http://blog.revolutionanalytics.com/2016/01/microsoft-r-webinars.html

Microsoft R Open 3.2.3 (formerly Revolution R Open), and new CRAN Time Machine now available at MRAN:
http://blog.revolutionanalytics.com/2016/01/microsoft-r-open-323-now-available.html

Overview of parallel computing in R:
http://blog.revolutionanalytics.com/2016/01/a-gentle-introduction-to-parallel-computing-in-r.html

R packages providing sources of data: http://blog.revolutionanalytics.com/2016/01/new-data-sources-for-r.html

Visual Studio will soon support the R language: http://blog.revolutionanalytics.com/2016/01/new-data-sources-for-r.html

Microsoft R Server available free to students and developers:
http://blog.revolutionanalytics.com/2016/01/r-dreamspark.html

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

A new ggplot2 extension avoids overlapping text labels:
http://blog.revolutionanalytics.com/2016/01/avoid-overlapping-labels-in-ggplot2-charts.html

R played a big part in a scientific breakthrough regarding reproducibility of results:
http://blog.revolutionanalytics.com/2016/01/rs-role-in-science-breakthrough-reproducibility-of-psychology-studies.html

An online data science course using Microsoft Azure and R:
http://blog.revolutionanalytics.com/2016/01/video-course-data-science-with-microsoft-azure-and-r.html

A review of the 7th R user conference in Spain:
http://blog.revolutionanalytics.com/2016/01/7th-meeting-of-spanish-r-users-5-6-november-2015-salamanca-spain.html

Using network analysis in R to explore connections in the movie "Love Actually"
http://blog.revolutionanalytics.com/2016/01/analyzing-movie-connections-with-r.html

The most popular posts on the Revolutions blog in 2015:
http://blog.revolutionanalytics.com/2016/01/top-posts-of-2015.html

General interest stories (not related to R) in the past month included: pinball skills
(http://blog.revolutionanalytics.com/2016/01/because-its-friday-flipper-tricks.html), when walking up the escalator is
inefficient (http://blog.revolutionanalytics.com/2016/01/because-its-friday-stand-on-the-left-and-on-the-right.html),
Pokemon or Big Data (http://blog.revolutionanalytics.com/2016/01/because-its-friday-pokemon-or-big-data-tool.html), and
mimicking famous guitar styles (http://blog.revolutionanalytics.com/2016/01/get-lucky-guitar.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 davidsmi at microsoft.com or via Twitter
(I'm @revodavid).

Cheers,
# 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