[EMAIL PROTECTED] wrote: > >There are lots of tutorials at > <http://cran.r-project.org/other-docs.html>. > > I have those of course. I was looking for further tutorials. > > >What do you mean the "statistical aspect" of R? > > I mean using and building statistical models for data analysis > specifying the possibilities of variations appearing in R. An example > would be specifying Split-plot ANOVA with both random and fixed factors. > A lot of the tutorials in above url try to explain R as a programming > language and therefore cannot allow too many explanation. That is the > case of "Jack of all trades... etc." R is useful for quite a lot of > things, however I'm looking for something like a statistics course in R. > Just to prevent misunderstanding, I do own, and am familiar with, > exhaustive statistical texts. So I don't exactly need a course in > statistics. > > Thanks in advance, > > Gil
(I'm redirecting this to the general R list, since it's not particularly Mac specific any more.) Despite your claim, there are statistics-oriented tutorials available in the "other docs" section (esp. Faraway and Fox). However, if I recall correctly and if you need split-plot ANOVA etc., these may not be quite advanced enough (statistically) for you (Faraway has about 5 pages on block designs). You may need to buy or borrow a book: I would recommend Crawley's books (Statistics: an Introduction using R has only 4 or so pages, Statistical Computing has a whole 16-page chapter); Venables and Ripley (the bible) has a chapter on random and mixed effects, and Pinheiro and Bates is an entire book on mixed models ... all of these except Statistical Computing are listed on the R books page. Faraway also has "Linear models with R", which has a chapter on block designs. That should give you some starting points ... Ben Bolker ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
