mcnemarQ {cata} | R Documentation |
McNemar's test
Description
Pairwise tests are conducted using the two-tailed binomial test. These tests can be conducted after Cochran's Q test.
Usage
mcnemarQ(X, quiet = FALSE, digits = getOption("digits"))
Arguments
X |
matrix of |
quiet |
if |
digits |
for rounding |
Value
Test results for all McNemar pairwise tests conducted via the binomial test
Author(s)
J.C. Castura
References
Cochran, W.G. (1950). The comparison of percentages in matched samples. Biometrika, 37, 256-266. doi:10.2307/2332378
McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153-157. doi:10.1007/BF02295996
Meyners, M., Castura, J.C., & Carr, B.T. (2013). Existing and new approaches for the analysis of CATA data. Food Quality and Preference, 30, 309-319, doi:10.1016/j.foodqual.2013.06.010
See Also
Examples
data(bread)
# McNemar's exact pairwise test for all product pairs
# on the first 50 consumers and the first attribute ("Fresh")
mcnemarQ(bread$cata[1:50, , 1])
# Same, returning only results for the first 4 attributes
(res <- apply(bread$cata[1:50, , 1:4], 3, mcnemarQ, quiet=TRUE, simplify=FALSE))