R: Cochran's Q Test with Permutation

cochranq.test {CVST} | R Documentation

## 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 <tammokrueger@googlemail.com>

### 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)

[Package CVST version 0.2-2 Index]