| Corrections (7 May 08) |
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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 |
| Changes in R -- easier ways in lattice, and changes to mcmcsamp() output objects. |
| Reproduce book's graphs |
There is a choice of source (.R) and image (.RData) files.
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| 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; 4:11/23; etc (Click for details) |
| Laboratory exercises |
| Summary details of 13 sets of 2+ hour laboratory exercises. These substantially supplement exercises in the book. |
| Further notes (7Dec07) |
| Supplementary notes re xyplot() (pp.55-56, etc), AOV table on p.121, measurement error models (pp.207, 209), predict() for GLMs (Ch 8), etc. |
| Notes on specific topics |
| Chapter 10 using lme(); Lattice graphics (Apr16 2008); 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 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. |
DAAG package (also available from CRAN).