Dear Paul, You might want to add Everitt & Hothorn's "A Handbook of Statistical Analyses Using R". If I had to recommend just one book it'd be this one.
My own (i.e., highly subjective) suggestion, if you can afford two books, would be to first go through Dalgaard's and then through Everitt & Hothorn's. I do not have a direct experience with Verzani's, but I've heard great things about it. I think a pdf of a preliminary version is available from the R page. Regarding Crawley's ... well, I find some/many of his comments and suggestions unorthodox (my experience is with his "Statistical Computing: An Introduction to Data Analysis using S-Plus", a book I would not recommend to a novice). HTH, R. On 2/16/07, Paul Lynch <[EMAIL PROTECTED]> wrote: > I'm looking for a book for someone completely ignorant of statistics > who wishes to learn both statistics and R. I've found three > possibilities, one by Verzani ("Using R for Introductory Statistics"), > one by Crawley ("Statistics: An Introduction using R"), and one by > Dalgaard ("Introductory Statistics with R"). Do these books have > different emphases, perspectives, or strengths? Should I just pick > one at random and buy it? > > Thanks, > --Paul > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Ramon Diaz-Uriarte Statistical Computing Team Structural Biology and Biocomputing Programme Spanish National Cancer Centre (CNIO) http://ligarto.org/rdiaz ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.