2251 search results for "map"

Trees with the rpart package

November 13, 2012
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Trees with the rpart package

What are trees? Trees (also called decision trees, recursive partitioning) are a simple yet powerful tool in predictive statistics. The idea is to split the covariable space into many partitions and to fit a constant model of the response variable in each partition. In case of regression, the mean...

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My first R GUI

November 13, 2012
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My first R GUI

This post is a huge jump from the last two - this is not for beginners!! But if you've ever considered building a GUI in R, looked at some of the online documentation, gotten scared, and decided not to, read this!!! Ok here goes. Dorian Auto GUI Setup: I built this for a school project. The basic problem setup is from...

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Benchmarking bigglm

November 13, 2012
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By Joseph Rickert In a recent blog post, David Smith reported on a talk that Steve Yun and I gave at STRATA in NYC about building and benchmarking Poisson GLM models on various platforms. The results presented showed that the rxGlm function from Revolution Analytics’ RevoScaleR package running on a five node cluster outperformed a Map Reduce/ Hadoop implementation...

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Comparing Shiny with gWidgetsWWW2.rapache

November 12, 2012
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(A guest post by John Verzani) A few days back the RStudio blog announced Shiny, a new product for easily creating interactive web applications (http://www.rstudio.com/shiny/). I wanted to compare this new framework to one I’ve worked on, gWidgetsWWW2.rapache – a version of …Read more »

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Terrain effects on SUHI estimates

November 9, 2012
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Terrain effects on SUHI estimates

Introduction Zhang and Imhoff (2010)  pdf here utilized NLCD impervious surface area (ISA), Olson biomes, and MODIS Land Surface temperature (LST) to estimate the magnitude of UHI in large cities across the US.  Peng  employed a   similar approach in studying 419 large cities ( population greater than 1m ) around world. Peng’s work suggests a limit or

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What’s new in Revolution R Enterprise 6.1

November 8, 2012
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We're pleased to announce that the latest update to Revolution R Enterprise is available today! Existing subscribers will soon receive an email with update instructions, and the free academic distribution will be updated later today. Version 6.1 adds a frequently-requested big-data statistical modeling algorithm, adds new connectivity option for Hadoop, improves performance, and provides new security and installation options...

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RBelgium meeting on November, 16

RBelgium meeting on November, 16

Next week on Friday, November 16, the RBelgium R user group is holding its next Regular meeting in Brussels. This is the schedule of the upcoming RBelgium Regular meeting:* Graphical User Interface developments around R, including tcltk2 and SciViews - Philippe Grosjean (UMons)* Using R via the Amazon Cloud - Jean-Baptiste Poullet (stat'Rgy)* Literature review: R books - Brecht Devleesschauwer (UGent, UCL)The meeting will take place...

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In case you missed it: October 2012 Roundup

November 7, 2012
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In case you missed them, here are some articles from October of particular interest to R users. Sponsorships for local R user groups from Revolution Analytics are now open to applicants worldwide. During the landfall of Hurricane Sandy in the US, several R-based apps used public weather and social media data to document its impact, like this timeline of...

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Shootout 2012: Test & Val Sets proyections

November 7, 2012
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Shootout 2012: Test & Val Sets proyections

It is obvious (after seeing the spectra of the calibration set), that we have at least three clusters, and that this can be related with the concentration of the active ingredient in the tablets. If we see the scores in the PC1-PC2 score map we will se...

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Using R to Compare Hurricane Sandy and Hurricane Irene

November 3, 2012
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Using R to Compare Hurricane Sandy and Hurricane Irene

Having just lived through two back to back hurricanes (Irene in 2011 and Sandy in 2012) that passed through the New York metro area I was curious how the paths of the hurricanes differed.  I worked up a quick graph in R using data from Unisys.  The data also includes wind speed and barometric pressure.

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