Monthly Archives: February 2012

Gini index and Lorenz curve with R

February 23, 2012
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Gini index and Lorenz curve with R

You can do anything pretty easily with R, for instance, calculate concentration indexes such as the Gini index or display the Lorenz curve (dedicated to my students). Although I did not explain it during my lectures, calculating a Gini index or displaying the Lorenz curve can be done very easily with R. All you have

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Maps with R (III)

February 23, 2012
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Maps with R (III)

In my previous posts (1 and 2) I wrote about maps with complex legends but without any kind of interactivity. …Continuar leyendo »

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another X’idated question

February 23, 2012
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another X’idated question

An X’idated reader of Monte Carlo Statistical Methods had trouble with our Example 3.13, the very one our academic book reviewer disliked so much as to “diverse a 2 star”. The issue is with computing the integral when f is the Student’s t(5) distribution density. In our book, we compare a few importance sampling solutions,

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Visualization in regression analysis

February 23, 2012
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Visualization in regression analysis

Visualization is a key to success in regression analysis. This is one of the (many) reasons I am also suspicious when I read an article with a quantitative (econometric) analysis without any graph. Consider for instance the following dataset, obtained from http://data.worldbank.org/, with, for each country, the GDP per capita (in some common currency) and the infant mortality rate...

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Setting up FastRWeb on Mac OS X

February 23, 2012
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Setting up FastRWeb on Mac OS X

FastRWeb is an infrastructure that allows any webserver to use R scripts for generating dynamic content, such as web pages and graphics. In this post, you’ll learn how to install and set up FastRWeb on a Mac. This tutorial is expendable to any Unix-like operating system. It is an adaptation from Jay Emerson’s post, Setting

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What to do about publishing data?

February 22, 2012
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What to do about publishing data?

There seems to be a scale that’s tipping at the moment: Data or code that should be published* is often not.  This should seem like an odd statement for anyone in science, but it should be easy to show that most publications … Continue reading →

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Introduction to R and Revolution R Enterprise: Slides

February 22, 2012
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If you missed this morning's webinar, Revolution R Enterprise, 100% R and More, I've embedded the slides below. Interestingly, about half of today's participants were SAS users, and the remainder R users. The first section introduces open-source R, and the second describes the additional features of Revolution R Enterprise. View more presentations from Revolution Analytics Unfortunately we had a...

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Diamonds vs. water smackdown in playitbyr-powered podcast

February 22, 2012
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Apparent Reason, my new monthly podcast, is a boisterous and non-technical discussion of economics and statistics. In that format I don't have the luxury of showing charts and graphs to complement my discussion, so I use the playitbyr package to represent the data as sound. (Apparently February is a great month to start R-related podcasts!

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A Sequence Clustering Model in R

February 22, 2012
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A Sequence Clustering Model in R

I’ve just released my first R package! Over the past 1.5 years or so, I’ve been studying an obscure statistical model over ranking (full, or partial) data called Mallows’ model.  It hypothesizes that a set of sequence data has a “modal” sequence about which the data cluster, and that the data fall away from that

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PCA for NIR Spectra_part 001: "Plotting the loadings"

February 22, 2012
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PCA for NIR Spectra_part 001: "Plotting the loadings"

There are different algorithms to calculate the Principal Components (PCs). Kurt Varmuza & Peter Filzmozer explain  them in their book: “Introduction to Multivariate Statistical Analysis in Chemometrics”.I´m going to apply one of them, to...

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