Assess independence between two ordinal variables.
This is the ‘linear by linear’ association test, which uses weights or scores to target the test to have more power against ordered alternatives.
Parameters: | row_scores : array-like
col_scores : array-like
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Returns: | A bunch with the following attributes: : statistic : float
null_mean : float
null_sd : float
zscore : float
pvalue : float
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Notes
The scores define the trend to which the test is most sensitive.
Using the default row and column scores gives the Cochran-Armitage trend test.