benn at bgu.ac.il 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