It seems to me that a combination of ftable and xtabs works fine:
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
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)),
+
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))
xtabs(count ~., prob1)
On Mon, Apr 21, 2008 at 10:46 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)),
+
Now that is simple and elegant. Thanks!
PS. Is there a course available for learning how to read R help information? :)
At 10:52 PM 4/21/2008, Gabor Grothendieck wrote:
xtabs(count ~., prob1)
On Mon, Apr 21, 2008 at 10:46 PM, Robert A. LaBudde [EMAIL PROTECTED] wrote:
How does one ideally
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