There are a couple of options in R, if you want to utilize multiple cores on your machine. These days my favorite is doMC package, which depends on foreach and multicore packages.in the section below squareroot for each number is calculated in parallel...
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Utilizing multiple cores in R
There are a couple of options in R, if you want to utilize multiple cores on your machine. These days my favorite is doMC package, which depends on foreach and multicore packages.in the section below squareroot for each number is calculated in parallel...
Revolution in the News
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...
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 !
************************************************************************************************
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...
Machine Learning and Data Mining with R
The San Francisco Bay Area ACM runs several courses on data mining and machine learning with R. Machine Learning 101 deals primarily with supervised learning problems, and Machine Learning 102 covers unsupervised learning and fault detection. Machine Learning 101 & 102 were most recently presented by Mike Bowles & Tricia Hoffman in September, and the lecture notes and class...
Ghcn V3 Metadata improvements
The Global Historical Climate Network (GHCN) is in it’s beta stage. On of the stated goals of the project is to improve the metadata that is provided for the station data. Over the past few months several independent volunteers have been focusing on the issue of station metadata, each with their own focus. Ron Broberg 
Webinar: Revolution R is 100% R and 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 use Revolution R Enterprise free of charge. The full...
Webinar: Revolution R is 100% R and 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 use Revolution R Enterprise free of charge. The full...
Upcoming R courses from Statistics.com
The online training provider Statistics.com has three great courses based on R coming up in the next few months: Nov. 5 - Dec. 3: "Graphics in R," with Paul Murrell Nov. 20 – Dec. 18: Support Vector Machines in R" with Dr. Lutz Hamel Dec. 17 - Jan. 22: "Geostatistics in R" with Prof. David Unwin The courses take...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
