2313 search results for "Map"

Watch “Sandy” In R

October 27, 2012
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Watch “Sandy” In R

UPDATE: Significantly updated code on githubWell, a couple folks asked how to make it more “centered” on the hurricane and stop the labels from chopping off, so I modified the previous code a bit to show how to do that. As indicated in the code comments, Google took down the cone KML files. I’ll be

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Modeling Couch Potato strategy

October 25, 2012
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Modeling Couch Potato strategy

I first read about the Couch Potato strategy in the MoneySense magazine. I liked this simple strategy because it was easy to understand and easy to manage. The Couch Potato strategy is similar to the Permanent Portfolio strategy that I have analyzed previously. The Couch Potato strategy invests money in the given proportions among different

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Allstate compares SAS, Hadoop and R for Big-Data Insurance Models

October 25, 2012
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Allstate compares SAS, Hadoop and R for Big-Data Insurance Models

At the Strata conference in New York today, Steve Yun (Principal Predictive Modeler at Allstate's Research and Planning Center) described the various ways he tackled the problem of fitting a generalized linear model to 150M records of insurance data. He evaluated several approaches: Proc GENMOD in SAS Installing a Hadoop cluster Using open-source R (both on the full data...

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Palettes in R

October 25, 2012
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Palettes in R

In its simplest form, a palette in R is simply a vector of colors. This vector can be include the hex triplet or R color names.The default palette can be seen through palette(): > palette("default") # you'll only need this line if you've previ...

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Machine learning for hackers

October 23, 2012
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Machine learning for hackers

Which way do you prefer to learn a new material – deep theoretical background first and practice later or do you like to break things in order to fix them? If latter is your way of learning things, then most likely you will enjoy Machine Learning for Hackers. The book has chapters on machine learning

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Bayes for President!

October 23, 2012
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Bayes for President!

I couldn't resist getting sucked into the hype associated with the US election and debates, and so I thought I had a little fun of my own and played around a bit with the numbers. [OK: you may disagree with the definition of "fun" $-$ but then again, i...

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Presidential Debates 2012

October 23, 2012
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Presidential Debates 2012

I have been playing with the beta version of qdap utilizing the presidential debates as a data set. qdap is in a beta phase lacking documentation though I’m getting there. In previous blog posts (presidential debate 1 LINK and VP … Continue reading →

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It Takes 2 Lines of R Code to Discover Interesting Biology

October 23, 2012
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It Takes 2 Lines of R Code to Discover Interesting Biology

The following biological phenomenon demonstrates just how elegant R code can be. In vertebrate genomes, a methyl group (-CH3) can be added to nucleotides. Such process of methylation is commonly associated with gene suppression. Most of the cytosines in the … Continue reading →

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googleVis 0.3.0/0.3.1 is released: It’s faster!

October 23, 2012
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googleVis 0.3.0/0.3.1 is released: It’s faster!

Version 0.3.0 of the googleVis package for R has been released on CRAN on 20 October 2012. With this version we have been able to speed up the code considerably. The transformation of R data frames into JSON works significantly faster. The execution of the gvisMotionChart function in the World Bank demo is over 35 times...

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ChIP-seq Analysis with Bioconductor

October 22, 2012
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ChIP-seq Analysis with Bioconductor

Often scientists are interested in finding genome-wide binding site of their protein of interest. R offers easy way to load and process the sequence files coming from ChIP-seq experiment. During the next weeks I’m going to present a pipeline that … Continue reading →

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