...a continuing journey through Using R for Introductory Statistics, by John Verzani. Simple linear regression Linear regression is a kooky term for fitting a line to some data. This odd bit of terminology can be blamed on Sir Francis Galton, a proli...
...a continuing journey through Using R for Introductory Statistics, by John Verzani. Simple linear regression Linear regression is a kooky term for fitting a line to some data. This odd bit of terminology can be blamed on Sir Francis Galton, a proli...
Hic sunt dracones used to be placed on maps, as a way to denote a dangerous or otherwise unexplored territory. We might as well write it all over R-related material used in introductory classes, because students seems to be really (…)
It will often be more efficient to generate graphics in an external software package and then include these files in a LaTeX beamer presentation. The standard LaTeX approach to including graphics can be utilised to perform this task. Fast Tube by Casper The graphicx is useful for including graphics files in a presentation and this package has
![StatProb [wiki]](http://www.r-bloggers.com/wp-content/uploads/2010/07/royalstat.png)
Via the support of Springer, probability and statistics societies are launching a specialised wiki called StatProb. It operates as a wiki in that authors can submit short articles on any topic, with further co-authors joining in later to improve those articles, but with the contents guaranteed via the filter of an editorial 
I've released highlight 0.2-2 to CRAN. This release adds the possibility to control the font size of the latex code generated by sweave (when using the driver that is provided by highlight) For example, this C++ code (using Rcpp) will be highlight...
A most interesting paper by Adrian Raftery and Le Bao appeared in the Early View section of Biometrics. It aims at better predictions for HIV prevalence—in the original UNAIDS implementation, a naïve SIR procedure was used, based on the prior as importance function, which sometimes resulted in terrible degeneracy—, but its methodological input is about 
G Jay Kerns has published a 400+ page introductory text on Probability and Statistics. All of the examples and illustrations are done using R (as Jay puts it, "The people at the party are Probability and Statistics; the handshake is R") so if you want to brush up on your probability and learn R at the same time, this...
I’ve had enough of copy and pasting output from my R session into my email editor, blog, etc. I need something like Sweave for plain text files. In particular, I want the result of parsing <<echo=TRUE>>= f <- function(x) { x + 1 } f(1) @ with Sweave, but without the latex markup. For example,
On his Probability and statistics blog, Matt Asher put a funny question (with my rephrasing): Take a unit square. Now pick two spots at random along the perimeter, uniformly. For each of these two locations, pick another random point from one of the three other sides of the square and draw the segment. What is 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
