R help - Nov 2009 - What parts of 'Statistical Models in S' are not applicable to R?

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?

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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