Monthly Archives: November 2011

Empirical Orthogonal Function (EOF) Analysis for gappy data

November 24, 2011
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Empirical Orthogonal Function (EOF) Analysis for gappy data

The following is a function for the calculation of Empirical Orthogonal Functions (EOF). For those coming from a more biologically-oriented background and are familiar with Principal Component Analysis (PCA), the methods are similar. In the climate sciences the method is usually used for the decomposition of a data field into dominant spatial-temporal modes. Read...

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source_https(): Sourcing an R Script from github over HTTPS

November 24, 2011
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source_https(): Sourcing an R Script from github over HTTPS

The Objective I wanted to source R scripts hosted on my github repository for use in my blog (i.e. a github version of ?source). This would make it easier for anyone wishing to test out my code snippets on their own computers without having to manually go to my github repo and retrieve a series of R

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If you are writing a book on Bayesian statistics

November 23, 2011
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This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. … Continue reading →

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Andrew gone NUTS!

November 23, 2011
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Andrew gone NUTS!

Matthew Hoffman and Andrew Gelman have posted a paper on arXiv entitled “The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo” and developing an improvement on the Hamiltonian Monte Carlo algorithm called NUTS (!). Here is the abstract: Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC) algorithm that avoids the

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DecisionStats review of Revolution R Enterprise 5.0

November 23, 2011
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At the DecisionStats blog, Ajay Ohri has published his review of Revolution R Enterprise 5.0. The review includes a slideshow highlighting some of the features of the new release, including the expanded code snippets manager and the new cluster job manager. It's well worth checking out if you'd like a quick overview of what's new in the latest release....

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The ‘swst’ package to print statistical results in Sweave

November 23, 2011
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When I was making the slides for a lecture on using Sweave to incorporate R and LaTeX I was unpleasantly surprised at how tedious it can be to extract statistical values and print them in proper LaTeX code. For example, consider a … Continue reading →

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Materials of the “LaTeX for Psychological Researchers” course

November 23, 2011
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I have given a course on using LaTeX for psychological researchers. This course consisted of four lectures in which I discussed the following subjects: how to obtain a LaTeX distribution How to use LaTeX to write professional scientific reports How to use … Continue reading →

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Prague Half Marathon Ranking: 2% or 25% missing?

November 23, 2011
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Prague Half Marathon Ranking: 2% or 25% missing?

I am a regular participant of Prague International Half Marathon. In a mass event like this the horde of runners needs a long time to reach the starting line. To make the times mutually comparable the “start time” is measured and afterwards subtracted from the “finish time”. Also the crowd is organized to corridors in such...

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An R function to analyze your Google Scholar Citations page

November 23, 2011
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An R function to analyze your Google Scholar Citations page

Google scholar has now made Google Scholar Citations profiles available to anyone. You can read about these profiles and set one up for yourself here. I asked John Muschelli and Andrew Jaffe to write me a function that would download my Google Scholar...

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Updating CODA – a possible post-doctoral project

November 23, 2011
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Updating CODA – a possible post-doctoral project

If you are looking for a post-doctoral position in statistical computing in 2012 then you may be able to help me with rewriting the coda package for R.  But if you are interested, you don’t have much time to apply.The … Continue reading →

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