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: [EMAIL PROTECTED] 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 ______________________________________________ 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. [[alternative HTML version deleted]] ______________________________________________ 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.
