2440 search results for "gis"

Create a Web Crawler in R

February 8, 2011
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Create a Web Crawler in R

Admittedly I am not the best R coder, and I certainly have a lot to learn, but the code at the link below should provide you with an example of how easy it is to create a very (repeat: very) basic web crawler in R.  If you wanted to do this in SPSS, and I

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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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R courses from Statistics.com

February 7, 2011
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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...

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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.orgIn...

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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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Boxplots and Beyond – Part II: Asymmetry

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...

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Clustering NHL Skaters

February 6, 2011
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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

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Revolution R Enterprise 4.2 now available

February 1, 2011
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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:...

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