Skip to Content

Blogs

Now that the limited availability period is complete, we're pleased to announce that Revolution R Enterprise 7 is now generally available for all customers on the following platforms (see the detailed list of supported platforms):

This water is so smart, it can solve a maze. (Skip ahead to 1:19 if you want to avoid spoilers and just be amazed.)

 

The program for next year's useR! conference in Los Angeles is shaping up nicely, with confirmed speakers including John Chambers (from the R Core Group), David Diez (OpenIntro), Dirk Eddelbuettel (Rcpp, Debian), Jan de Leeuw (Journal of Statistical Software), Martin Mächler (R Core, R Foundation) and Karline Soetaert (author of Solving Differential Equations in R).

Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract:

In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms.

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

A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R.

Because video games happen in a virtual world, it's possible to measure just about every aspect of the game. It's kind of like being able to observe a sports match or a battle, but being able to attach a telemetry sensor to every player, every weapon and bullet, every surface of the environment, and gather all that data in real time.

A recent article by Matt Asay claims that "Python is displacing R as the language for data science". Python has certainly made some great strides in recent years, evolving beyond a data processing tool (an area where Python excels) to a data analysis tool.

I had the pleasure of visiting technology guru Robert Scoble at Rackspace Labs a few weeks ago. We had a great conversation about the Big Data revolution, and how large enterprises are catching up with the likes of Google and Facebook when it comes to using their data stores to improve their operations and provide a personalized experience for their customers.