If you're looking for some in-depth training in R, here are some upcoming courses presented by R gurus and hosted by statistics.com to consider:

Feb 11:  Modeling in R (Sudha Purohit — more details after the jump)
Mar 4:  Introduction to R – Data Handling (Paul Murrell)
Apr 15:  Programming in R (Hadley Wickham)
Apr 29:  Graphics in R (Paul Murrell)
May 20:  Introduction to R – Statistical Analysis (John Verzani)

statistics.com: Modeling in R

In “Modeling in R” you learn how to use R to build statistical models and use them to analyze data. Multiple regression is covered first, then logistic regression and the generalized linear model (multiple regression and logistic regression illustrated as special cases). The Poisson model for count data, and the concept of overdispersion are also covered. You learn how to analyze longitudinal data using straightforward graphics and simple inferential approaches, then mixed-effects models and the generalized estimating approach for such data.

The course emphasizes how to fit the models listed and interpret results, rather than how to derive the theoretical background of the models.

Dr. Sudha Purohit is a Visiting Lecturer in Statistics at the University of Pune and, before her retirement in 2000, was Head of the Department of Statistics at A. G. College, Pune, India. She is a co-author of “Statistics Using R” (jointly with Prof. Shailaja Deshmukh and Dr. Sharad Gore), as well as “Life-Time Data: Statistical Models and Methods”, “Introduction to Biometry”, and (with Dr. Shailaja Deshmukh) “Microarray Data: Statistical Analysis Using R”.  Participants can ask questions and exchange comments with Dr. Purohit via a private discussion board throughout the period.

The course takes place online at statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participate at your own convenience; there are no set times when you are required to be online. Details and registration info.