nominalSymmetryTest {rcompanion}

Exact and McNemar symmetry tests for paired contingency tables

Description

Conducts an omnibus symmetry test for a paired contingency table and then post-hoc pairwise tests. This is similar to McNemar and McNemar-Bowker tests in use.

Usage

nominalSymmetryTest(x, method = "fdr", digits = 3, exact = FALSE, ...)

Arguments

x

A two-way contingency table. It must be square. It can have two or more levels for each dimension.

method

The method to adjust multiple p-values. See stats::p.adjust.

digits

The number of significant digits in the output.

exact

If TRUE, uses the binom.test function. If FALSE, uses the mcnemar.test function.

...

Additional arguments

Details

The omnibus McNemar test may fail when there are zeros in critical cells.

Currently, the exact=TRUE with a table greater than 2 x 2 will not produce an omnibus test result.

Value

A list containing: a data frame of results of the global test; a data frame of results of the pairwise results; and a data frame mentioning the p-value adjustment method.

Author(s)

Salvatore Mangiafico, [e-mail]

References

https://rcompanion.org/handbook/H_05.html

See Also

pairwiseMcnemar, groupwiseCMH, pairwiseNominalIndependence, pairwiseNominalMatrix

Examples

### 2 x 2 repeated matrix example
data(AndersonRainBarrel)
nominalSymmetryTest(AndersonRainBarrel)
                    
### 3 x 3 repeated matrix example
data(AndersonRainGarden)
nominalSymmetryTest(AndersonRainGarden,
                    exact = FALSE)