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by Norman Matloff

You've heard that graphics processing units — GPUs — can bring big increases in computational speed. While GPUs cannot speed up work in every application, the fact is that in many cases it can indeed provide very rapid computation. In this tutorial, we'll see how this is done, both in passive ways (you write only R), and in more direct ways, where you write C/C++ code and interface it to R.

There was a lot of news coverage on Friday and over the weekend about the news that Microsoft will acquire Revolution Analytics. Here are some links to just a few of the articles published.

David Smith's picture
January 26, 2015

From the "statistician humour" department, today's xkcd cartoon will ring a bell for anyone who's ever published (or read!) a scientific article including a P-value for a statistical test:

Ancient Greek philosophers once speculated that it was possible to draw any geometric shape using only a compass and a ruler. We now know that's not true, but you'd be surprised just how much you can achieve using these simple tools.

by David Smith, Chief Community Officer

On behalf of the entire Revolution Analytics team I am excited to announce that Revolution Analytics is joining forces with Microsoft to bring R to even more enterprises. Microsoft announced today that it will acquire Revolution Analytics.

[This post has been revised to credit the original author of the R code behind this graphic]

Inspired by Tufte's classic visualization of New York City weather in 2013, Brad Boehmke used the R language to create a similar story about the weather in Dayton, Ohio in 2014.

by Bob Horton, Data Scientist, Revolution Analytics

From electronic medical records to genomic sequences, the data deluge is affecting all aspects of health care. The Masters of Science in Health Informatics (MSHI) program at the University of San Francisco, now in its second year, is designed to help students develop the practical computing skills and quantitative perspicacity they need to manage and exploit this wealth of data in health care applications.

Bruno Rodrigues teaches a class on applied econometrics at the University of Strasbourg, with a focus on implementing econometric concepts in the R language. Since many of the students don't have any previous programming background, he's put together a tutorial on the basics of applied econometrics with R.

Are you one of those people obsessed by typefaces? I am, and one of my bugbears is bad kerning. (Follow that link for many infuriating examples of keming.) But kerning isn't as easy as it looks, as the Kerntype game will prove to you.