On Mon, Apr 21, 2008 at 9:46 PM, Robert A. LaBudde <[EMAIL PROTECTED]> wrote: > How does one ideally handle and display multidimenstional contingency > tables in R v. 2.6.2? > > E.g.: > > > prob1<- data.frame(victim=c(rep('white',4),rep('black',4)), > + perp=c(rep('white',2),rep('black',2),rep('white',2),rep('black',2)), > + death=rep(c('yes','no'),4), count=c(19,132,11,52,0,9,6,97)) > > prob1 > victim perp death count > 1 white white yes 19 > 2 white white no 132 > 3 white black yes 11 > 4 white black no 52 > 5 black white yes 0 > 6 black white no 9 > 7 black black yes 6 > 8 black black no 97 > > The xtabs() function doesn't seem appropriate, as it has no means of > using 'count'. > > This must be a common problem.
You can also use the reshape package (http://had.co.nz/reshape) cast(prob1, victim ~ perp, sum, value="count") cast(prob1, victim ~ perp ~ death, sum, value="count") cast(prob1, death + victim ~ perp, sum, value="count") etc. Hadley -- http://had.co.nz/ ______________________________________________ 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.