cata (version 0.0.10.9)

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, na.rm = TRUE, 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)

na.rm

should NA values be removed?

quiet

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

digits

significant digits (to display)

References

Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37, 256-266.

McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153-157.

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 40 consumers and the first attribute ("Fresh")
mcnemarQ(bread$cata[1:40,,1])