In case you missed it: October 2015 roundup
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In case you missed them, here are some articles from October of particular interest to R users.
A video from the PASS 2015 conference in Seattle shows R running within SQL Server 2016. The preview for SQL Server 2016 includes Revolution R Enterprise (as SQL Server R Services).
A way of dealing with confounding variables in experiments: instrumental variable analysis with the ivmodel package for R.
The new dplyrXdf package allows you to manipulate large, out-of-memory data sets in the XDF format (used by the RevoScaleR package) using dplyr syntax.
Some guidelines for using explicit parallel programming (e.g. the parallel package) with the implicit multithreading provided by Revolution R Open.
Ross Ihaka was featured in a full-page advertisement for the University of Auckland in The Economist.
A comparison of fitting decision trees in R with the party and rpart packages.
The foreach suite of packages for parallel programming in R has been updated, and now includes support for progress bars when using doSNOW.
The “reach” package allows you to call Matlab functions directly from R.
A review of support vector machines (SVMs) in R.
A presentation (with sample code) shows how to call Revolution R Enterprise from SQL Server 2016.
A tutorial on using the miniCRAN package to set up packages for use with R in Azure ML.
Asif Salam shows how to use the RDCOMClient package to construct interactive Powerpoint slide shows with R.
A directory of online R courses for all skill levels.
Using R's nls() optimizer to solve a problem in Bayesian inference.
A professor uses the miniCRAN package to deliver R packages to offline facilities in Turkey and Iran.
Amanda Cox, graphics editor at the New York Times, calls R “the greatest software on Earth” in a podcast.
Hadley Wickham answered many questions in a Reddit “Ask Me Anything” session.
A roundup of several talks given at R user group meetings around the world.
General interest stories (not related to R) in the past month included: visualizing the movements of chess pieces, real-time face replication, a world map of antineutrinos, a gender transformation, and a warning about “big data” applications.
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