"David Hajage" <[EMAIL PROTECTED]> writes: > Hello R users, > > I would like to perform a mc nemar test. > There is my data : > __________________________________ > x <- matrix(4:1,2,2) > > x > > [,1] [,2] > [1,] 4 2 > [2,] 3 1 > __________________________________ > > My population is too small for normal approximation. > __________________________________ > library(concord) > > mcnemar.mh(x) > > $statistic > [1] 0.2 > > $p > [1] 0.6547208 > > Warning message: > low cell counts - consider binomial test in: mcnemar.mh(x) > > ___________________________________ > > Do you have an advice to perform this test ? Is there a non-parametric one ? > Thank you very much.
The advice would seem to be rather precise: > binom.test(2,5) Exact binomial test data: 2 and 5 number of successes = 2, number of trials = 5, p-value = 1 alternative hypothesis: true probability of success is not equal to 0.5 95 percent confidence interval: 0.05274495 0.85336720 sample estimates: probability of success 0.4 -- O__ ---- Peter Dalgaard Ă˜ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html