On Jun 1, 2009, at 6:01 PM, Tal Galili wrote:

Hi Chuck,
Thank you for the fast reply.
I looked through that thread (that's how I came across the commands I
wrote).

1) My question was if this command (cochran.test) could be used the same way as (mcnemar.test). It obviously can't be, but maybe there is another command
I don't know about.

???. What is wrong with mcnemar.test()?


2) Why do you think I might not want this test ?

They test different hypotheses. The McNemar test tests for equal probabilities of cells (i,j) and (j,i), in essence a test of symmetry across the diagonal, whereas the Cochran test is for the similarity of distribution in k columns. Who can tell which test you really want? You have not described your design or research question at all. That Wikipedia article does not say they are equivalent in general, only that they are in the 2 x 2 case, which would seem readily apparent.

Thompson's accompaniment to Agresti's text says (p 177):
"Also, McNemar’s test is equivalent to a Cochran-Mantel-Haenszel test with subjects as strata. Thus, the CMH test is performed on a 2 x 2 x n table. This table is called the subject-specific table, and will be used in the next section."

https://home.comcast.net/~lthompson221/Splusdiscrete2.pdf

--
David


Thanks,
Tal

On Tue, Jun 2, 2009 at 12:56 AM, Chuck Cleland <cclel...@optonline.net>wrote:

On 6/1/2009 5:29 PM, Tal Galili wrote:
Hello all
I wish to perform a mcnemar.test() for a 5X5 matrix.
Wikipedia tells me (http://en.wikipedia.org/wiki/Cochran_test) I should
turn
to cochran.test.
The only place I found it was in the "outliers" package, but the command cochran.test() acts differently then mcnemar.test() , and doesn't take a
table as input.

Any ideas on how to use it ?

#Example code:
aa =

as .table(matrix(c(0,0,0,0,1,0,2,2,1,0,1,2,2,1,0,1,1,3,2,0,0,0,1,2,3), 5,5))
mcnemar.test(aa)
#  p-value = NA
install.packages("outliers")
require(outliers)
cochran.test(aa)
# Error in x$terms : $ operator is invalid for atomic vectors

Thanks,
Tal

 I'm not sure you actually want Cochran's Q Test, but if you do see
this thread:

https://stat.ethz.ch/pipermail/r-help/2006-September/113139.html

--
Chuck Cleland, Ph.D.
----------------------------------------------


My contact information:
Tal Galili

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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