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

Joseph Rickert reviews the inaugural New York City R User Conference, featuring Andrew Gelman.

by Joseph Rickert

The following multi-panel graph, which graces the cover of the most recent issue of the Journal of Computational and Graphical Statistics ,JCGS, (Vol 24, Num 1, March 2015) is from the paper by Grolemund and Wickham entitled Visualizing Complex Data With Embedded Plots. The four plots are noteworthy for a couple or reasons: 

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.