cochranq.test: Cochran's Q Test with Permutation In CVST: Fast Cross-Validation via Sequential Testing

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

 `1` ```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.

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

 ```1 2 3 4 5 6 7 8``` ```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 May 2, 2019, 3:43 p.m.