Peng Yu wrote:
According to Amazon review, 'Statistical Models in S' is a key reference for understanding the methods implemented in several of S-PLUS' high-end statistical functions, including 'lm()', predict()', 'design()', 'aov()', 'glm()', 'gam()', 'loess()', 'tree()', 'burl.tree()', 'nls()' and 'ms()'. But since it is for S, some part of the book may not be applicable to R. Some examples (e.g. interaction.plot()) discussed in this book are not available in R. Without, working examples, it is sometimes difficult for me to understand the materials in the book. Besides the functions mentioned in the Amazon review, could somebody give me a hint on what chapters (or sections) in this book are not appropriate to R?
They all are appropriate, but nuances differ these days, as some nuances differ for recent S-PLUS versions, 17 years later. It should still be fine to learn some relevant concepts.
Best wishes, Uwe Ligges
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______________________________________________ R-help@r-project.org 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.
