statsmodels.stats.oneway.convert_effectsize_fsqu

statsmodels.stats.oneway.convert_effectsize_fsqu(f2=None, eta2=None)[source]

Convert squared effect sizes in f family

f2 is signal to noise ratio, var_explained / var_residual

eta2 is proportion of explained variance, var_explained / var_total

uses the relationship: f2 = eta2 / (1 - eta2)

Parameters:
f2None or float

Squared Cohen’s F effect size. If f2 is not None, then eta2 will be computed.

eta2None or float

Squared eta effect size. If f2 is None and eta2 is not None, then f2 is computed.

Returns:
resHolder instance

An instance of the Holder class with f2 and eta2 as attributes.


Last update: Oct 29, 2024