Multidimensional contingency tables
On Mon, Apr 21, 2008 at 9:46 PM, Robert A. LaBudde <ral at lcfltd.com> 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