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
pvalue : float
pvalue of the test statistic based on chisquare distribution
df : int
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