statsmodels.stats.oneway.confint_effectsize_oneway¶
-
statsmodels.stats.oneway.confint_effectsize_oneway(f_stat, df, alpha=
0.05
, nobs=None
)[source]¶ Confidence interval for effect size in oneway anova for F distribution
This does not yet handle non-negativity constraint on nc. Currently only two-sided alternative is supported.
See also
Notes
The confidence interval for the noncentrality parameter is obtained by inverting the cdf of the noncentral F distribution. Confidence intervals for other effect sizes are computed by endpoint transformation.
R package
effectsize
does not compute the confidence intervals in the same way. Their confidence intervals can be replicated with>>> ci_nc = confint_noncentrality(f_stat, df1, df2, alpha=0.1) >>> ci_es = smo._fstat2effectsize(ci_nc / df1, df1, df2)
Last update:
Oct 29, 2024