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Arthur Charpentier was trying to solve an interesting problem with R: given this data set of random walks in the 2-D plane, what is the likely origin of a pathway that ends in the black circle below?

It's pretty easy to generate random data like this with a few lines of code in R. And with 2 million trajectories of 80 points each, you have some moderately-sized data to analyze: about 4Gb.

Since 2009, it has been possible to call R from SAS programs. However, this integration requires IML, an add-on matrix-object language for SAS which isn't available with all SAS installations and is separate from the standard SAS PROC execution model.

If you visit and upload a photo of yourself, a maching learning algorithm (the 'How Old Robot') will indentify your gender and tell you how old you look. Here's how it did on a photo of me:

Bay Area engineer Vineet Abraham recently ran some benchmarks for Revolution R Open (RRO) running on Mac OS X and on Ubuntu. Thanks to the multi-threaded processing capabilites of RRO, several operations ran much faster than R downloaded from CRAN, without having to change any code:

Build 2015, the Microsoft conference which brings around 5,000 developers to the Moscone Center in San Francisco, begins tomorrow. The conference is sold out, but you can livestream the keynote presentations from to catch all the big announcements. You can also follow along on Twitter at the #Build2015 hashtag.

by Mark Malter

After reading the book, Analyzing Baseball with R, by Max Marchi and Jim Albert, I decided to expand on some of their ideas relating to runs created and put them into an R shiny app .


The Server and UI code are linked at the bottom of the Introduction tab.

One of the great things about R is that there's so much available to use with it: there are several interfaces to choose from, thousands of add-on packages to extend its capabilites, hundreds of books and on-line tutorials — an abundance of riches to improve your R experience. But with that abundance comes a problem: how to find the best add-ons to R.