[R] R code for "Statistical Models in S" ?

[Bert Gunter]

The White Book provides the original S Language Specification. This was what
existed at Bell labs way back then. Subsequent implementations, both S-Plus
and R, will differ on details.

Also, a lot of development effort has flowed over the dam since publication,
so both implementations contain lots of stuff not even mentioned there.See
also the Green book.

Bert Gunter
Genentech Nonclinical Statistics
South San Francisco, CA 94404
650-467-7374


-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Charilaos Skiadas
Sent: Thursday, March 01, 2007 12:56 PM
To: R-Mailingliste
Subject: [R] R code for "Statistical Models in S" ?

I just acquired a copy of "Statistical Models in S", I guess most  
commonly known as the "white book", and realized to my dismay that  
most of the code is not directly executable in R, and I was wondering  
if there was a source discussing the things that are different and  
what the new ways of calling things are.

For instance, the first obstacle was the solder.balance data set. I  
found a "solder" data set in rpart, which is very close to it except  
for the fact that the Panel variable is not a factor, but that's  
easily fixed.
The first problem is the next two calls, on pages 2 and 3. One is  
"plot(solder.balance)", which is supposed to produce a very different  
plot than it does in R (I actually don't know the name of the plot,  
which is part of the problem I guess). Then one is supposed to call  
"plot.factor(skips ~ Opening + Mask)", which I took to mean:
"plot(skips ~ Opening + Mask, data=solder)", and that worked, though  
I still haven't been able to make a direct call to plot.factor work  
(I keep getting a "could not find function plot.factor" error).

Anyway, just wondered whether there is some page somewhere that  
discusses these little differences here and there, as I am sure there  
will be a number of other problems such as these along the way.

Haris Skiadas
Department of Mathematics and Computer Science
Hanover College

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