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

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,

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...

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

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...

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!

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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