Try this: df <- data.frame(DMS=factor(rep(LETTERS[1:4], 10)), ITS=factor(rep(LETTERS[1:4], 10))) table(df) plot(table(df))
-- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O On 06/12/2007, christopher snow <[EMAIL PROTECTED]> wrote: > I have a dataset with two variables that are factors: > > 1) Decision Making Satisfaction (DMS), values = A - Completely, B - > Mostly, C - Partly, D - Not at all > 2) IT Satisfaction values (ITS), values = A - Completely, B - Mostly, C > - Partly, D - Not at all > > I would like to produce a table (matrix) and a chart of the factors, > with counts at the cross sections: > > A B C D > A > B counts > C > D > > How can I do this in R? > > Many thanks, > > Chris > > -- > This message has been scanned for viruses and > dangerous content by MailScanner, and is > believed to be clean. > > ______________________________________________ > R-help@r-project.org 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. > ______________________________________________ R-help@r-project.org 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.
