Applied Linear Models with R

by Daniel Zelterman

The concepts are explained very clearly and reading the book will greatly enhance your understanding of many commonly used statistical techniques. In these notes, to make sure I learned the material as well as possible, I provide detailed solutions to many of the statistical questions posed by Zelterman in the R programming language.

The great thing about this book are the large number of problems that require a fuller analysis than most statistical books that just ask for a quick solution or calculation. These problems are a great way to get a bit of experience with the more open ended "real world" problems in that one will encounter in any applied statistical environment. For each of these problems the research will have to decide when they are finished/satisfied with their analysis since there is always more that could be done. My solutions are just one of the many paths someone could take.

I hope that this book will help you become a stronger statistical problem solver and open your eyes to the possibility of using R as a language to help solve your own statistical problems.

People unfamiliar with this book can see what others have said about it on amazon here.

Update: Chapter 6, 8, and 9 are now finished! Currently working on the exercises in Chapter 10.

R Code For Various Problems:
As always, I am interested in hearing about any errors that might exist in this material.

John Weatherwax