Corrections (18 Jan 2009) 
1st printing
(Booklet format; click here) pp. 16, 39, 40, 42, 55, 70, 72, 105, 106, 111, 115, 189, 196, 207, 209, 211, 222, 266, 308, 309, 311, 310, , 314, 325, 343, 348, 426, 433, 462, 464 2nd printing (Booklet format; click here) pp.105, 115, 211, 310, , 314, 343, 348, 462, 464 
GUIs, easier ways in lattice, ARIMA modeling using the forecast package, and changes to mcmcsamp() output objects. 
Reproduce book's graphs 
There is a choice of source (.R ) and image (.RData ) files.

R code, chapter by chapter 
Has R code script files for each of the 14 chapters. 
Solutions to exercises 
Ch 1:8/21 (8 of 21); 2:7/13; 3:7/11; 4:13/23; etc (Click for details) 
Laboratory exercises 
Summary details of 16 sets of laboratory (2+ hour. some shorter) exercises [plus notes on use of R's Sweave() function to generate the LaTeX files for the exercises]. These exercises substantially supplement exercises in the book. 
Updates to the text, and notes additional to the text 
Updates I:
7Dec2007:
Supplementary notes re xyplot() (pp.5556, etc), AOV table on p.121,
measurement error models (pp.207, 209), predict() for GLMs (Ch 8),
etc;
Updates II: 23Dec2008: GUIs, easier ways in lattice,
ARIMA modeling using the forecast package, and changes
to mcmcsamp() output objects. Notes additional to the text: Overheads for a talk on multilevel models; Chapter 10 using lme(); Lattice and other graphics; Least squares computation; Theory of Generalized Linear Models; Regression in Practice; Comparative a/c of lda(), qda() and logistic regression; Analysis of microarray data; R talks to LaTeX (Sweave). These notes treat topics that get brief mention in the text. 
Draft Changes and Additions 
Draft of Selected Changes and Additions in a Projected 3rd Edition of Data Analysis and Graphics Using R (late 2009, perhaps) Discusses R GUIs, lattice and interaction with lattice plots, ggplot2, measurement error models, and automated choice of ARIMA models using the forecast package from the forecasting package bundle. 
R Course Overheads 
Overheads for a course that is based on the text. 
R setup and environment 
Brief comments and links for installation of R; Use of R with the TinnR Windows editor; Brief notes on other editor interfaces. 
First edition 
Additional materials, relevant to the 1st edition. 