Hi!
I would like to conduct a Cochran`s Q Test in R, but have not found any
suitable function.
My first idea was: J - as.table(matrix(c(6,16,2,4),ncol=2, dimnames =
list(C = c(Favorable,Unfavorable),Drug A Favorable=c(B
Favorable,B Unfavorable
L - as.table(matrix(c(2,4,6,6),ncol=2,
On Mon, 2006-09-18 at 14:01 +1000, [EMAIL PROTECTED] wrote:
Hi!
I would like to conduct a Cochran`s Q Test in R, but have not found any
suitable function.
My first idea was: J - as.table(matrix(c(6,16,2,4),ncol=2, dimnames =
list(C = c(Favorable,Unfavorable),Drug A Favorable=c(B
[...]
cochranq.test(K)
Cochran's Q Test for Dependent Samples
data: K
Cochran's Q = 23.9298, df = 11, p-value = 0.01303
Cochran's Q fits into the `coin' framework and thus:
K - as.table(matrix(c(1,1,0,0, 1,1,0,1, 1,1,1,1, 1,1,1,1, 1,0,0,0,
+ 1,1,1,1, 1,1,1,1, 0,0,0,0,