R scripts for 
Data Analysis and Graphics Using R - An Example-Based Approach
by John Maindonald and John Braun 

In this (March 19, 2004) version of the scripts, code errors 
have been corrected. Addtionally, there are a few places 
(e.g., p.40, on the use of xyplot()) where the code has been 
modified and improved relative to the code that appears in 
the current printing.

intro.R:     # CH 1: A Brief Introduction to R 
eda.R:       # CH 2: Styles of Data Analysis 
models.R:    # CH 3: Statistical Models 
inference.R: # CH 4: An Introduction to Formal Inference 
reg1.R:      # CH 5: Regression with a Single Predictor 
multilr.R:   # CH 6: Multiple Linear Regression 
exploit.R:   # CH 7: Exploiting the Linear Model Framework 
glm.R:       # CH 8: Logistic Regression & Other Generalized Linear Models 
multilevel.R:# CH 9: Multi-level Models, Time Series & Repeated Measures 
treebased.R: # CH 10: Tree-Based Classification and Regression 
mva.R:       # CH 11: Multivariate Data Exploration and Discrimination 
additional.R:# CH 12: The R System -- Additional Topics 
splus-diffs-R: # Appendix: Differences from S-PLUS

Data sets, and a small number of functions that are additional
to those in R base or in recommended packages, are in our DAAG
package, available either from http://www.stats.uwo.ca/DAAG
or from CRAN (http://www.cran.r-project.org)

John Maindonald
March 19,2004.
john.maindonald@anu.edu.au