statsmodels.stats.oneway.ScaleEquivalenceResult#
- class statsmodels.stats.oneway.ScaleEquivalenceResult(statistic, pvalue, effectsize, crit_f, crit_es, reject, power_zero, df, f_stat, type_effectsize, x_transformed)[source]#
Result of
equivalence_scale_oneway.Has the same attributes as
EquivalenceOnewayResult, computed on the transformed data, plus x_transformed.- Parameters:
- statistic
float F-statistic used for the equivalence test, same value as f_stat.
- pvalue
float p-value of the equivalence test.
- effectsize
float Estimated effect size, in the units given by type_effectsize.
- crit_f
float Critical value for the F-statistic at the boundary of the equivalence margin.
- crit_es
float Critical value for the effect size at the boundary of the equivalence margin, in the same units as effectsize.
- rejectbool
True if the null hypothesis of non-equivalence is rejected, i.e. the data supports equivalence within equiv_margin.
- power_zero
float Power of the equivalence test if the true effect size were zero.
- df
tuple Degrees of freedom
(df1, df2)of the F-distribution used for the test.- f_stat
float F-statistic used for the equivalence test, same value as statistic.
- type_effectsize
str Description of the effect size type used for effectsize and crit_es, determined by margin_type.
- x_transformed
listofndarray The centered and transformed data used to compute the test.
- statistic
- Attributes:
- crit_es
- crit_f
- df
- effectsize
- f_stat
- power_zero
- pvalue
- reject
- statistic
- type_effectsize
- x_transformed
Notes
Unpacks as
statistic, pvalue = result. Other values are only accessible using attributes.Methods
Properties