One additional package you may want to consider is the R2HTML package.  If you load this before each lecture/demonstration and use HTMLStart, HTMLplot, and HTMLStop you will end up with a nice html transcript of the entire session (commands and output) that you could place under a course website for the students to refer back to (rather than them having to write down every command you type/paste in).

________________________________

From: r-help-bounces@stat.math.ethz.ch on behalf of Giovanni Petris
Sent: Fri 4/20/2007 5:29 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Suggestions for statistical computing course




Thanks to everybody who responded to my query. I got many useful
suggestions about books and editors, plus notes and other material
online.

Summarizing, the books suggested were

- Monahan, Numerical Methods of Statistics
- Lange, Numerical analysis for statisticians

In terms of Editors, TINN-R was mentioned several times, in addition
to R's build-in code editor.

I will report to the list on my experience in this course and whatever
books/tools I will end up using, since there seems to be some
interest.

Have a good weekend!
Giovanni

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