cata (version 0.1.0.27)

mcnemarQ: 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"))

Value

Test results for all McNemar pairwise tests conducted via the binomial test

Arguments

X

matrix of \(I\) assessors (rows) and \(J\) products (columns) where values are 0 (not checked) or 1 (checked)

quiet

if FALSE (default) then it prints information related to the test; if TRUE it returns only the test statistic (Q)

digits

for rounding

Author

J.C. Castura

References

Cochran, W.G. (1950). The comparison of percentages in matched samples. Biometrika, 37, 256-266. tools:::Rd_expr_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. tools:::Rd_expr_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, tools:::Rd_expr_doi("10.1016/j.foodqual.2013.06.010")

See Also

cochranQ

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))