extrapolation and interpolation The most important lesson I learned from this book: regression is reliable for interpolation, but not for extrapolation. Even further, your observations really need to cover the whole gamut of causal variables, inter...
This post originally appeared on my Wordpress blog on May 23, 2010. I present it here in its original form. In my opinion, the description of orgmode by its creator as a tool "for keeping notes, maintaining ToDo lists, doing project planning,...
This post originally appeared on my Wordpress blog on May 23, 2010. I present it here in its original form. In my opinion, the description of orgmode by its creator as a tool "for keeping notes, maintaining ToDo lists, doing project planning,...
I've pushed version 0.1-8 of highlight to CRAN. highlight is a syntax highlighter for R that renders R source code into some markup language, the package ships html and latex renderers but is flexible enough to handle other formats. Syntax highligh...
Most embarrassingly, Liaosa Xu from Virginia Tech sent the following email almost a month ago and I forgot to reply: I have a question regarding your example 7.11 in your book Introducing Monte Carlo Methods with R. To further decompose the uniform simulation by sampling a and b step by step, how you determine the 
As a true R fan, I like to believe that R can do anything, no matter how big, how small or how complicated: there is some way to do it in R. I decided to approach my large, sparse matrix problem with this attitude. But here I sit a broken man.
There is no “native” big data support built into...
After thinking about random sudokus for a few more weeks, I eventually came to read the paper by Newton and DeSalvo about the entropy of sudoku matrices. As written earlier, if we consider (as Newton and DeSakvo) a uniform distribution where the sudokus are drawn uniformly over the set of all sudokus, the entropy of 
![Typo in Bayesian Core [again]](http://www.r-bloggers.com/wp-content/uploads/2010/05/cda_displayimage.jpg?SGWID=0-0-16-301393-0)
Reza Seirafi from Virginia Tech sent me the following email about Bayesian Core, which alas is pointing out a real typo in the reversible jump acceptance probability for the mixture model: With respect to the expression provided on page 178 for the acceptance probability of the split move, I was wondering if the omission of 
Several readers emailed me or left a comment on my previous announcement of Frank Harrell's workshop on using Sweave for reproducible research asking if we could record the seminar. Unfortunately we couldn't record audio or video, but take a look a...
Frank Harrell, chair of the Biostatistics department here at Vanderbilt, is giving a seminar entitled "Sweave for Reproducible Research and Beautiful Statistical Reports" tomorrow, Wednesday, May 12, 1:30-2:30pm, in the MRBIII Conference Room 1220. This tutorial covers the basics of Sweave and shows how to enhance the default output in various ways by using: latex methods for converting R...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
