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
 tablearray_like, 2d, (k, k)
a square contingency table that contains the count for k categories in rows and columns.
 Returns
 statisticfloat
chisquare test statistic
 pvaluefloat
pvalue of the test statistic based on chisquare distribution
 dfint
degrees of freedom of the chisquare distribution
See also
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