In case you missed it: November 2014 Roundup

December 11, 2014

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

In case you missed them, here are some articles from November of particular interest to R users.

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.

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.

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 to improve vehicles.

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

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.

A look at the popular igraph package for drawing networks and connected graphs with R.

How to create 3-D R graphics that you can interactively rotate on-screen with plotly and ggplot2.

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. 

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. 

A short video describes how R programs can run in the Azure cloud and be connected to other applications.

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

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.

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)