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.
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.