The competitive data prediction competitions hosted by Kaggle require data scientists to bring their A game: the competition is intense, and competitors know in real time from the daily leaderboards how their predictions compare in accuracy to those of their rivals. So it's no surprise that open-source R, the most ... [Read more...]

If you missed Wednesday's webinar on Deploying Predictive Analytics with Revolution R, PMML and ADAPA, the presentation slides and the replay (in WMV, reg. req'd) format are now available for download. Here are some additional references, from the closing slide: How Revolution R and ADAPA work together The PMML Package ... [Read more...]

If you'd like to learn more about using the PMML package in R to export statistical models, or if you'd just like to learn more about building predictive models in Revolution R and creating predictions (scores) from them in other applications or in the cloud, I'll be co-presenter on a ... [Read more...]

Revolution Analytics' Chief Scientist Lee Edlefsen was a presenter at the Structure Big Data conference in New York last week. You can download the slides from his talk, The Coming Revolution in Statistics, here (PDF 418k). In his presentation, Lee states that "R is not only the statistical language of ... [Read more...]

The recently announced Revolution Analytics / Zementis partnership goes a long way towards demonstrating how R fits into big-league production environments. A frequent complaint against R is that although R is fine prototyping tool it is not able to handle production environments. Well, that’s just not true. In fact, it ... [Read more...]

Tech news site The Register has just published an in-depth profile of Revolution Analytics. It was great meeting the author Dan Olds at Revolution HQ a couple of weeks ago, and sharing with him why we think the R language is the way forward for data science: modern, applied, large-scale ... [Read more...]

A quick reminder that Revolution Analytics' CTO David Champagne will be hosting a live webinar tomorrow (March 16) on Integrating R into 3rd Party and Web Applications Using RevoDeployR. Designed for application developers, this webinar will cover publishing R scripts to the RevoDeployR server, and integrating their results into Web applications, ... [Read more...]

As announced yesterday by the R Core Team, the next major update to R will be released on April 13. R 2.13.0 is the next major release of R, which gets major updates approximately every six months. This also indicates that R 2.12.2 is the last patch level of the R 2.12 series, and ... [Read more...]

This post from Sherry LaMonica is the first in a series from members of the Revolution Analytics Engineering team — ed. Do you know about the big data capabilities in the RevoScaleR package, included with every Revolution R Enterprise installation? RevoScaleR provides a framework for fast and efficient multi-core processing of ... [Read more...]

Between the recent launch of Revolution R Enterprise 4.2 and the announcement of the SAS to R Challenge, there's been a flurry of recent news about Revolution Analytics and R in the media. Here's a quick recap: The Register's Timothy Prickett Morgan comments on the SAS to R Challenge: 'Red Hat ... [Read more...]

Today we're pleased to announce the availability of the latest update to the Revolution R family, Revolution R Enterprise 4.2. This release includes all of the capabilities of the most powerful statistical software available, open-source R (version 2.11.1), plus additional components for big data analysis, integration, user experience and more. Version 4.2 includes ... [Read more...]

Over the past year, Revolution Analytics has sponsored a number of local R user groups, and we've been thrilled to see the enthusiasm with which R users are coming together. This year, we decided to expand and formalize our sponsorship program, so that any local R user group, whether just ... [Read more...]

Coronary artery disease (CAD) results in blockages to the blood vessels that supply the heart and, if left untreated, can lead to heart attacks and even death. In fact, CAD is the leading cause of death in North America and many other countries. It's important to detect CAD as soon ... [Read more...]

Since it's the end of the year, and since this is a statistics blog, I thought I'd pull some data from the blog server and run some number on the blog itself. Overall, the blog has doubled the average number of daily visitors and pageviews compared to 2009. The number of ... [Read more...]

If you missed today's webcast on Revolution R Enterprise: 100% R and more, the slides from the presentation are now available for download, and a replay of the webcast (in WMV format) will be available at that same link very soon. And if you missed some of the links I mentioned ... [Read more...]

I'll be hosting a webinar tomorrow (Wednesday) aimed at R users who want to know more about how Revolution R Enterprise extends open source R for big data, Web services, multi-core processing, debugging and more. For R users at schools and universities, I'll also explain how you can download and ... [Read more...]

Last month TDWI's James Powell interviewed Revolution CEO Norman Nie and published the interview as "R 101". The article answers some of the basic questions about R, such as: What is R? Why is R well-suited for predictive analytics? Why is R superior? How easy is it to learn R? Where ... [Read more...]

It's been a busy fall season for the team at Revolution Analytics. Over the past few months, we've announced major product enhancements for Revolution R -- RevoScaleR, for tackling big data sets, and RevoDeployR, for embedding Revolution R into wider applications. We've continued to add to our growing customer base ... [Read more...]

Revolution Analytics is growing, and we're looking for some skilled R Hackers to work in our pre-Sales team. A big part of our task is showing companies how R is such a great tool for modern data analysis (especially compared to those older tools with 3- or 4-letter acronyms). So ... [Read more...]

Lee Edlefsen, who has led the Revolution R development team in Seattle for more than three years, is now the Chief Scientist for Revolution Analytics. With more than 30 years experience in high-performance and statistical computing, this is a great position for Lee. There's more details in the press release linked ... [Read more...]