[R] Revolutions blog: November 2014 Roundup

David Smith david at revolutionanalytics.com
Mon Dec 8 19:12:29 CET 2014

Revolution Analytics staff and guests write about R every weekday at
the Revolutions blog:
and every month I post a summary of articles from the previous month
of particular interest to readers of r-help.

In case you missed them, here are some articles related to R from the
month of November:

Reviews of some of the R-related presentations (by John Chambers,
Trevor Hastie and others) at the H20 World conference:

An R/Shiny app for making egg-nog: http://bit.ly/1608yy6

An author's look at how R was used to create many of the beautiful
graphics in the book "London: The Information Capital":

PhD student Tim Winke used R to explore the popularity of German cars
around the globe: http://bit.ly/1608yy8

Twitter has released an R package for breakout detection in time
series, that they use to monitor user experience on the site:

Ford's Chief Data Scientist describes various applications where R is
used by the auto maker: http://bit.ly/1608yy7

The Bay Area R User Group featured presentations on using R to promote
athletes, using R on Azure, and updates to the data.table package:

Analyzing data from the Reddit API with R reveals that not all posts
are treated equally when it comes to promotions to the front page:

A new free course on DataCamp provides an introduction to the big-data
features of Revolution R Enterprise: http://bit.ly/1608yye

Learn about Revolution R Open and Deploy R Open, new open-source
projects from Revolution Analytics, in this recorded webinar:

R is now #12 in the Tiobe index of programming language popularity,
its highest rank ever: http://bit.ly/1608AWJ

A look at the popular igraph package for drawing networks and
connected graphs with R: http://bit.ly/1608AWI

How to create 3D-graphics that you can interactively rotate on-screen
with plotly and ggplot2: http://bit.ly/1608AWL

Some performance benchmarks of Revolution R Open on Linux, with
comparisons to other multithreaded BLAS libraries:

Working with a large and messy data set with R packages and Revolution
R Enterprise: http://bit.ly/1608yyj

Revolution R Enterprise 7.3 is now available, with a new Stochastic
Gradient Boosting algorithm for very large data sets:

Stanford PhD candidate Peggy Fan explores the World Values Survey data
with R and Shiny: http://bit.ly/1608AWN

A short video describes how R programs can run in the Azure cloud and
be connected to other applications: http://bit.ly/1608AWM

General interest stories (not related to R) in the past month
included: Too Many Cooks, a bizarre satire video
(http://bit.ly/1608AWP) and how Interstellar advanced the science of
black holes (http://bit.ly/1608AWR).

Meeting times for local R user groups (http://bit.ly/eC5YQe) can be
found on the updated R Community Calendar at: http://bit.ly/bb3naW

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, or join the Revolution Analytics mailing list at
http://revolutionanalytics.com/newsletter to be alerted to new
articles on a monthly basis.

As always, thanks for the comments and please keep sending suggestions
to me at david at revolutionanalytics.com or via Twitter (I'm

# David

David M Smith <david at revolutionanalytics.com>
Chief Community Officer, Revolution Analytics
Tel: +1 (650) 646-9523 (Chicago IL, USA)
Twitter: @revodavid


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