Andrew Robinson <A.Robinson@ms.unimelb.edu.au> wrote:
> can I suggest, without offending, that you purchase and read Peter
> Dalgaard's "Introductory Statistics with R" or Michael Crawley's
> "Statistics: An Introduction using R" or Venables and Ripley's "Modern
> Applied Statistics with S" or Maindonald and Braun's "Data Analysis
> and Graphics Using R: An Example-based Approach",
> or download and read An Introduction to R 
> http://cran.r-project.org/doc/manuals/R-intro.pdf
> or one of the numerous contributed documents at
> http://cran.r-project.org/other-docs.html

For Natalie, who is an SPSS user, may I strongly recommend "R FOR SAS AND SPSS USERS" by Bob Muenchen at http://oit.utk.edu/scc/RforSAS&SPSSusers.pdf

This is a really, really excellent document which has proven to be an invaluable resource in introducing my SAS and SPSS using collegaues tot he delights or R.

And it is free (as in available at no cost).

Tim C

> On Wed, Apr 25, 2007 at 03:32:11PM -0600, Natalie O'Toole wrote:
> > Hi,
> > 
> > Does anyone know if: with R can you take a set of numbers and 
> aggregate
> > them like you can in SPSS? For example, could you calculate the 
> percentage
> > of people who smoke based on a dataset like the following:
> > 
> > smoke = 1
> > non-smoke = 2
> > 
> > variable
> > 1
> > 1
> > 1
> > 2
> > 2
> > 1
> > 1
> > 1
> > 2
> > 2
> > 2
> > 2
> > 2
> > 2
> > 
> > 
> > When aggregated, SPSS can tell you what percentage of persons are 
> smokers
> > based on the frequency of 1's and 2's. Can R statistical package do a
> > similar thing?
> > 
> > Thanks,
> > 
> > Nat
> > 
> > ______________________________________________
> > 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.
> 
> -- 
> Andrew Robinson  
> Department of Mathematics and Statistics            Tel: +61-3-8344-9763
> University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
> http://www.ms.unimelb.edu.au/~andrewpr
> http://blogs.mbs.edu/fishing-in-the-bay/
> 
> ______________________________________________
> 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.

