The results of 2010 INFORMS data mining competition just recently finished. The leaders were presented at the 2010 Annual INFORMS Conference. The 2010 INFORMS data mining competition goal was to determine short term movements in stock price...

The Joy of Stats really is a joy. It will be shown on BBC4, apparently scheduled for December 7. (That date comes from Hans Rosling on twitter, I haven’t found scheduling evidence at the BBC.) I saw its debut at the Royal Statistical Society on World Statistics Day. Here is a five minute excerpt: You … Continue reading →

This post documents an example of using Sweave to generate individualised personality reports based on responses to a personality test. Each report provides information on both the responses of the general sample and responses of the specific respond...

This post provides information on (a) installing Git using the Eclipse plugin Egit. (b) uploading repositories to GitHub, and (c) links to resources on Git, Git and LaTeX, and Git and R. The focus is on version control for people working on R, Sweave, ...

The book Random effects and latent variable model selection, edited by David Dunson in 2008 as a Springer Lecture Note. contains several chapters dealing with evidence approximation in mixed effect models. (Incidentally, I would be interested in the story behind the Lecture Note as I found no explanation in the backcover or in the preface.

As I mentioned in a recent post, I’ve just received a copy of Advanced Markov Chain Monte Carlo Methods. Chapter 1.4 in the book (very quickly) covers random variable generation. Inverse CDF Method A standard algorithm for generating random numbers is the inverse cdf method. The continuous version of the algorithm is as follows: 1.

I've pushed a new version of the parser package to CRAN. This is the first release that depends on Rcpp, which allowed me to reduce the code size and increase its maintainability. This also features a faster version of nlines, a function that r...

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