cochranq.test: Cochran's Q Test with Permutation

In CVST: Fast Cross-Validation via Sequential Testing

Cochran's Q Test with Permutation

Description

Performs the Cochran's Q test on the data. If the data matrix contains too few elements, the chisquare distribution of the test statistic is replaced by a permutation variant.

Usage

cochranq.test(mat)

Arguments

mat	The data matrix with the individuals in the rows and treatments in the columns.

Value

Returns a htest object with the usual entries.

Author(s)

Tammo Krueger <[e-mail]>

References

W. G. Cochran. The comparison of percentages in matched samples. Biometrika, 37 (3-4):256–266, 1950.

Kashinath D. Patil. Cochran's Q test: Exact distribution. Journal of the American Statistical Association, 70 (349):186–189, 1975.

Merle W. Tate and Sara M. Brown. Note on the Cochran Q test. Journal of the American Statistical Association, 65 (329):155–160, 1970.

Examples

mat = matrix(c(rep(0, 10), 1, 1, 0, 0, 0, 1, 0, 0, 0, 0,
1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1,
0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0,
1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1), ncol=4)
cochranq.test(mat)
mat = matrix(c(rep(0, 7), 1, rep(0, 12), 1, 1, 0, 1,
rep(0, 5), 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1), nrow=8)
cochranq.test(mat)

CVST documentation built on March 18, 2022, 5:59 p.m.