R: Woolf Test For Homogeneity in 2x2xk Tables

WoolfTest {DescTools} | R Documentation

## Woolf Test For Homogeneity in 2x2xk Tables

### Description

Test for homogeneity on 2 x 2 x k tables over strata (i.e., whether the log odds ratios are the same in all strata).

### Usage

    WoolfTest(x)

### Arguments

`x` | a 2 x 2 x k table, where the last dimension refers to the strata.

### Value

A list of class `"htest"` containing the following components:

`statistic` | the chi-squared test statistic.
`parameter` | degrees of freedom of the approximate chi-squared distribution of the test statistic.
`p.value` | p-value for the test.
`method` | a character string indicating the type of test performed.
`data.name` | a character string giving the name(s) of the data.
`observed` | the observed counts.
`expected` | the expected counts under the null hypothesis.

### Note

This function was previously published as `woolf_test()` in the vcd package and has been integrated here without logical changes.

### Author(s)

David Meyer, Achim Zeileis, Kurt Hornik, Michael Friendly

### References

Woolf, B. 1955: On estimating the relation between blood group and disease. Ann. Human Genet. (London) 19, 251-253.

### See Also

`mantelhaen.test`, `BreslowDayTest`

### Examples

    migraine <- xtabs(freq ~ .,
                cbind(expand.grid(treatment=c("active","placebo"),
                                   response=c("better","same"),
                                   gender=c("female","male")),
                      freq=c(16,5,11,20,12,7,16,19))
                )

    WoolfTest(migraine)

[Package DescTools version 0.99.28 Index]