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 for stats' goes toe-to-toe with SAS. "By supporting...
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R courses from Statistics.com
If you're looking for some in-depth training in R, here are some upcoming courses presented by R gurus and hosted by statistics.com to consider: Feb 11: Modeling in R (Sudha Purohit -- more details after the jump) Mar 4: Introduction to R - Data Handling (Paul Murrell) Apr 15: Programming in R (Hadley Wickham) Apr 29: Graphics in R...
Simple example:How to use foreach and doSNOW packages for parallel computation.
update
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I checked whether this example was run collectly or not in Windows XP(32bit) only !
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In R language, the members at Revolution R provide foreach and doSNOW packages for parallel computation. these packages allow us to compute things in parallel. So, we start to install these packages.
In...
Simple example:How to use foreach and doSNOW packages for parallel computation.
update
************************************************************************************************
I checked whether this example was run collectly or not in Windows XP(32bit) only !
************************************************************************************************
In R language, the members at Revolution R provide foreach and doSNOW packages for parallel computation. these packages allow us to compute things in parallel. So, we start to install these packages.
In...
Boxplots and Beyond – Part II: Asymmetry
In my last post, I discussed boxplots in their simplest forms, illustrating some of the useful options available with the boxplot command in the open-source statistical software package R. As I noted in that post, the basic boxplot is both useful...
Clustering NHL Skaters
I have been sitting on this post for some time now and wanted to get it out there. The goal is to simply show how easy it is to pull live data from the web into R, massage it, and perform some analytics on it. I am not sure how useful this analysis really is 
Revolution R Enterprise 4.2 now available
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 a number of new features, including:...
A gentle introduction to R
Whenever a post on this blog requires some data analysis and perhaps a chart or two, my tool of choice is the versatile statistical programming package R. Developed as an open-source implementation of an engine for the S programming language, R is therefore free. Since commercial mathematical packages can costs thousands of dollars, this alone
Null Confusion
Talking a bit with my friend Jarrod about math stats and econometrics, we both came to the conclusion that the standard presentation for basic inference is lacking. In an intro or intermediate applied statistics course you learn about first and … Continue reading →
Disable auto-update from R (Windows)
There are two major threats to complex MCMC estimations:Wrong energy settings (hibernate after 2 hours of inactivity)Automatic Updates (install updates at 3 a.m.)I thought about the latter threat. At times, you may hand some R code to other co-workers,...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
