This post shows how to download and animate a series of Arctic Sea Ice Extent images using R and the animation package. In my previous post, I showed how to download the daily arctic sea ice extent data and generate … Continue reading →

Featured Thalesians, London 2012 September 12. Chia Tan on “Practical Financial Modeling”. Abstract: Financial modelling is not a competition in the mastery of complexity. Rather, the aim is to come up with the simplest models adequate to capture salient market features of traded products. There exists a wide gulf between material covered by traditional books … Continue reading...

Kendall’s Tau This is an example of Kendall’s Tau rank correlation. This is similar to Spearman’s Rho in that it is a non-parametric measure of correlation on ranks. It is an appropriate measure for ordinal data and is fairly straight forward when there are no ties in the ranks. When ties do exist then variations

Dear valued customer, it is a well-known scientific truth that research results which are accompanied by a fancy, colorful fMRI scan, are perceived as more believable and more persuasive than simple bar graphs or text results (McCabe & Castel, 2007; Weisberg, Keil, Goodstein, Rawson, & Gray, 2008). Readers even agree more with fictitious and unsubstantiated

I searched for a javascript plugin to highlighter code, but obviously not any code. I needed to higlight R. Finally I founded highlight.js. Highlights.js is pretty cool for many reasons. I like Highlights.js because: Support R lenguage....

It all started off as a simple question from Scott Chamberlain on Twitter: Make m x n matrix with randomly assigned 0/1 -> apply(m, c(1,2), function(x) sample(c(0,1),1)) -- Better/faster solution? #rstats — Scott Chamberlain (@recology_) August 28, 2012 The goal was to create a matrix with randomly selected binary elements, and a predetermined number of rows and columns, that...

The recently released BMR package, short for Bayesian Macroeconometrics with R, provides a comprehensive set of powerful routines that estimate Bayesian Vector Autoregression (VAR) and Dynamic Stochastic General Equilibrium (DSGE) models in R. The procedure of estimating both Bayesian VAR and DSGE models can represent a great computational burden. However, BMR removes a lot of