As part of all the news from yesterday, we also announced our vision and roadmap for the Revolution R product line for 2010. You can see a short summary of our vision in this two-minute video, or see more details in the roadmap whitepaper available for download. But here's a quick overview of our plans: First, we intend to...
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Revolution R Enterprise now free to academics
Unlike Revolution R Community which is 100% free to everyone, our commercial-grade Revolution R Enterprise distribution bundles R with proprietary components from our development team, which are normally available only to paying subscribers. (Those subscriptions are the way we get income to keep the company going.) Those components include our full ParallelR libraries for parallel programming, enhanced for 64-bit...
Rearranging definitions in R
I came up with a handy little trick for programming in R. I like to define a lot of variables all at once without worrying about what order they’re in. The goal would be something like this: K = -R2/R1 … Continue reading →
Developing a user-friendly regular expression function (easyGregexpr)
In the past few months, I've developed a set of functions for automating model estimation and interpretation using Mplus, an outstanding latent variable modeling program that has unparalleled flexibility for complex models (e.g., factor mixture models). I recently rolled these functions into an R package called MplusAutomation. Because the package focuses on extracting various parameters from text...
Developing a user-friendly regular expression function (easyGregexpr)
In the past few months, I've developed a set of functions for automating model estimation and interpretation using Mplus, an outstanding latent variable modeling program that has unparalleled flexibility for complex models (e.g., factor mixture models). I recently rolled these functions into an R package called MplusAutomation. Because the package focuses on extracting various parameters from text...
Quick and dirty parallel processing in R
R has some powerful tools for parallel processing, which I discovered while searching for ways to fully utilize my 8-core computer at work. What surprised me is how easy it is…about 6 lines of code, if that. Given that I wasn’t allowed to install heavy duty parallel-processing systems like MPICH on the computer, I found 
New R User Group in San Diego
There's a new local R User Group in San Diego (CA, USA), and they're meeting tonight. If you're in the area, why not RSVP and come along? The topic looks great: Our speaker, Scott Wallihan, will be covering how to expand R's functionality through custom packages. This topic will be covered over two meetings. In our April meeting, we...
Parallel Multicore Processing with R (on Windows)
Parallel Processing backend for R under windows - installation tips and some examples.
Slides from High-Performance Analytics webinar now available
Thanks to everyone who attended the webinar I presented this morning, High-Performance Analytics with REvolution R and Windows HPC Server. My slides are now available for download at the link below; even if you're not using Windows, I hope the slides are a useful introduction to the foreach parallel programming construct in general. If you do use R on...
“The next big thing”, R, and Statistics in the cloud
A friend just e-mailed me about a blog post by Dr. AnnMaria De Mars titled “The Next Big Thing”. In it Dr. De Mars wrote (I allowed myself to emphasize some parts of the text): Contrary to what some people seem to think, R is definitely not the next big thing, either. I am always surprised when people ask me why I think...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
