In case you missed it: November 2016 roundup

December 5, 2016

(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. 

Microsoft R Open 3.3.2, based on R 3.3.2, has been released for Windows, Mac and Linux.

A new, free course on EdX focuses on the big-data extensions of Microsoft R Server.

Using ggplot2 to create a calendar heat map of city bike usage in Chicago.

A tutorial on creating an in-database rental prediction service for a ski shop with SQL Server R Services.

Detailed R code to calculate AUC, the area under a ROC curve.

Rankings of the 5 most popular R packages by downloads (with and without dependencies).

Using computer vision algorithms from R to find images in a photomosaic.

Airbnb has released the knowledge repository they use to share data science reports generated using R.

Using the sparklyr package to manipulate data on Azure HDInsight.

The dplyrXdf package has been updated to provide subsetting and column subsetting for out-of-memory XDF files.

RStudio v1.0 has been released.

Charting historical baseball statistics with the Lahman package.

This Bayesian US election prediction model, implemented with R and Stan, turned out to be not so successful.

Making elastic net regression with glmnet a little easier: the glmnetUtils package.

A list of notable new and updated R packages.

A tutorial on calling the Cognitive Services text analytics APIs from R.

Some lessons and examples on migrating financial data applications from SAS to R.

General interest stories (not related to R) in the past month included: giving thanks, non-transitive dice, the most unsatisfying film, the US election surprise, and the Cubs win.

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.

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