| 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 15 chapters. |
| Solutions
to
exercises |
| Ch 1:8/21 (8 of 21); 2:7/13; 3:7/11; 4:11/23; 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. |
| 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. |
| 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 Tinn-R Windows editor; Brief notes on other editor
interfaces. |
| First
edition |
Additional materials, relevant to the 1st edition.
|
|
| Second
edition |
Additional materials, relevant to the 2nd edition.
|
DAAG package