You might want to start looking at the FAQ's http://cran.r-project.org/faqs.html
in particular http://cran.r-project.org/doc/FAQ/R-FAQ.html#R-and-S robert On 3/1/07, Charilaos Skiadas <[EMAIL PROTECTED]> wrote: > 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 > > ______________________________________________ > 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. > ______________________________________________ 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.