Great statistics courses that use R

1. http://www.unc.edu/courses/2006spring/ecol/145/001/docs/lectures.htm

2. http://www.stat.washington.edu/vanduijn/560/

Statistical learning theory:

3. http://www.ece.rice.edu/~fk1/classes/ELEC697.htm

4. http://www.ulb.ac.be/di/map/gbonte/Stat104.html

Null hypotheses, significance testing and all that jazz

Some amazing articles I've recently read in my ample spare time:

1. The Insignificance of Null Hypothesis Significance Testing
Jeff Gill
Political Research Quarterly, Vol. 52, No. 3 (Sep., 1999), pp. 647-674
doi:10.2307/449153

2. Andrew Gelman's article

3. And this one: http://www.npwrc.usgs.gov/resource/methods/statsig/index.htm

4. Bowers and Gelman on Exploratory Data Analysis with Hierarchical Linear Models (AKA Multilevel models)

Suitably stunned into silence, the reader may then have the following practical question: how to present one's HPD intervals in a journal, and what else to present?

Here's an answer from Doug Bates.

Great article: EDA for HLMs

There's an interesting paper I just read that comes with Sweave/R code that the article uses:

http://www-personal.umich.edu/~jwbowers/papers.html

It's called EDA for HLMs, and advocates an exploratory data analysis when trying to understand data (as opposed to blindly searching for a yes/no answer, did significance fall below 0.05). In psycholinguistics, we are still a long way from conventional plodding along well beaten paths.