statsmodels.stats.oneway.power_equivalence_oneway¶
-
statsmodels.stats.oneway.power_equivalence_oneway(f2_alt, equiv_margin, nobs_t, n_groups=
None
, df=None
, alpha=0.05
, margin_type='f2'
)[source]¶ Power of oneway equivalence test
- Parameters:¶
- f2_alt
float
Effect size, squared Cohen’s f, under the alternative.
- equiv_margin
float
Equivalence margin in terms of effect size. Effect size can be chosen with margin_type. default is squared Cohen’s f.
- nobs_t
ndarray
Total number of observations summed over all groups.
- n_groups
int
Number of groups in oneway comparison. If margin_type is “wellek”, then either
n_groups
ordf
has to be given.- df
tuple
Degrees of freedom for F distribution,
df = (n_groups - 1, nobs_t - n_groups)
- alpha
float
in
(0, 1) Significance level for the hypothesis test.
- margin_type“f2” or “wellek”
Type of effect size used for equivalence margin, either squared Cohen’s f or Wellek’s psi. Default is “f2”.
- f2_alt
- Returns:¶
- pow_alt
float
Power of the equivalence test at given equivalence effect size under the alternative.
- pow_alt
Last update:
Oct 29, 2024