This function uses pwr.anova.test from the pwr package in combination with convert.cohensf.to.omegasq and convert.omegasq.to.cohensf to provide power analyses for Omega Squared.
pwr.omegasq(k = NULL, n = NULL, omegasq = NULL, sig.level = 0.05, power = NULL, digits = 4)
| k | The number of groups. |
|---|---|
| n | The sample size. |
| omegasq | The Omega Squared value. |
| sig.level | The significance level (alpha). |
| power | The power. |
| digits | The number of digits desired in the output (4, the default, is quite high; but omega squared value tend to be quite low). |
This function was written to work similarly to the power functions in the pwr package.
An power.htest.ufs object that contains a number of input and output values, most notably:
The (specified or computed) power
The (specified or computed) sample size in each group
The (specified or computed) significance level (alpha)
The (specified or computed) Omega Squared value
The computed value for the Cohen's f effect size measure
pwr.anova.test, convert.cohensf.to.omegasq, convert.omegasq.to.cohensf
pwr.omegasq(omegasq=.06, k=3, power=.8)#> #> Balanced one-way analysis of variance power calculation #> #> k = 3 #> n = 51.3264 #> omegasq = 0.06 #> sig.level = 0.05 #> power = 0.8 #> #> NOTE: n is number in each group #>