[hidden email] 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

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