551 search results for "Register"

In case you missed it: February Roundup

March 9, 2011
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In case you missed them, here are some articles from February of particular interest to R users. Revolution R Enterprise 4.2 is now available to subscribers, and for free download to academics. A brief report from the Strata: Working with Data conference, and a comprehensive review from Ted Leung. A profile of prolific R contributor, Dirk Eddelbuettel. A list...

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snow and ssh — secure inter-machine parallelism with R

February 24, 2011
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I just threw a post up on Revolutions, which got a lot longer than I planned. And got me thinking. And reading (see refs in previous post). And trying. Turns out that it was way easier than I thought! The problem:From the blog post: " OpenSSH is now available on all platforms. A sensible solution...

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Utilizing multiple cores in R

February 8, 2011
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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

February 8, 2011
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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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Revolution in the News

February 8, 2011
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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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Simple example:How to use foreach and doSNOW packages for parallel computation.

February 6, 2011
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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. install.packages("foreach")install.packages("doSNOW") Created by Pretty R at inside-R.org In...

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Simple example:How to use foreach and doSNOW packages for parallel computation.

February 6, 2011
By

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.install.packages("foreach")install.packages("doSNOW")Created by Pretty R at inside-R.orgIn...

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Machine Learning and Data Mining with R

December 13, 2010
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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...

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Ghcn V3 Metadata improvements

December 12, 2010
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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

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Webinar: Revolution R is 100% R and More

December 7, 2010
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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...

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