Doran, Harold wrote: > There is a Springer publication "All of Statistics: a concise course in > statistical inference" by Larry Wasserman that might be what you are > looking for. The book also has an emphasis on R and his web site has > code and data sets for analysis of the examples used throughout. > > -Harold
My personal recommendation for students and collegues is as follows: 1) Dalgaard, P.: Introductory Statistics with R. (for beginners, very understandable, R without too much programming) 2) Crawley, M.J. Statistical Computing. An introduction to data analysis using S-Plus. (great for ANOVA like methods and very good self-teaching how the methods work) ... and for further reading: * Venables, W.N. and Ripley, B.D. Modern applied statistics with S. (Systematic introduction into the S language and comprehensive reference over many classical and modern statistical techniques. Some [but not all] chapters are relatively demanding. The book, mostly called "MASS", is a must for serious S/R users.) * Pinheiro and Bates: Mixed-effects models in S and S-Plus. * Box, Jenkins and Reinsel: Time series analysis. Forecasting and control. * Legendre and Legendre: Numerical Ecology. 2nd edition. ... and many more ;-) depending on your skills and interests. Thomas P. ______________________________________________ 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