sandbox.stats.runs.symmetry_bowker()

statsmodels.sandbox.stats.runs.symmetry_bowker

statsmodels.sandbox.stats.runs.symmetry_bowker(table) [source]

Test for symmetry of a (k, k) square contingency table

This is an extension of the McNemar test to test the Null hypothesis that the contingency table is symmetric around the main diagonal, that is

n_{i, j} = n_{j, i} for all i, j

Parameters:	table : array_like, 2d, (k, k) a square contingency table that contains the count for k categories in rows and columns.
Returns:	statistic : float chisquare test statistic p-value : float p-value of the test statistic based on chisquare distribution df : int degrees of freedom of the chisquare distribution

See also

mcnemar

Notes

Implementation is based on the SAS documentation, R includes it in mcnemar.test if the table is not 2 by 2.

The pvalue is based on the chisquare distribution which requires that the sample size is not very small to be a good approximation of the true distribution. For 2x2 contingency tables exact distribution can be obtained with mcnemar