Skip to Content

Blogs

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

Information Age published a feature article on R, describing how new graduates are driving adoption of R in industry.

In yesterday's webinar, Revolution Analytics CTO David Champagne demonstrated how to integrate statistical graphics and analytic computations created using R software with a variety of third-party applications.

Foursquare, the mobile location-sharing app (of which I'm a big fan), has an excellent recommondation system. Based on your recent checkins, places your friends found popular, and even the time of day, Foursquare Explore will recommend a great place for a sushi lunch, or the best place to buy new shoes.

The story about the great work that SUNY Buffalo has been doing to find a cure for Multiple Sclerosis with Revolution R Enterprise and IBM Netezza has generated a lot of attention, with stories in Forbes, InformationWeek and

Ph.D candidate in sociology Ethan Fosse just switched from Stata to doing 100% of his analysis with R. His reasons?

In the mid-1990s, a Statistics professor at UNC reported an IT problem: he couldn't send email more than 500 miles away. He'd had geostatisticians plot the sites where emails could be sent successfully and where they bounced, and found they described a circle a radius slightly over 500 miles. Some sites within the circle could sporadically receive email, but definitely none outside them. The solution to the problem, which involves old sendmail.cf formats and the speed of light, is well worth a read.

O'Reilly Radar tracks technology adoption via its annual "State of the Computer Book Market" report. In the latest report of 2011 book sales (amongst all publishers), books about R show a 127% increase in 2011 over 2010:

The open-source RHadoop project makes it easier to extract data from Hadoop for analysis with R, and to run R within the nodes of the Hadoop cluster -- essentially, to transform Hadoop into a massively-parallel statistical computing cluster based on R.