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
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
Please login to continue.