Vector of quantiles, or, in other words, the value(s) of Omega Squared.
p
Vector of probabilites (p-values).
df1, df2
Degrees of freedom for the numerator and the denominator, respectively.
n
Desired number of Omega Squared values.
populationOmegaSq
The value of Omega Squared in the population; this determines the center of the Omega Squared distribution. This has not been implemented yet in this version of userfriendlyscience. If anybody has the inverse of convert.ncf.to.omegasq for me, I'll happily integrate this.
lower.tail
logical; if TRUE (default), probabilities are the likelihood of finding an Omega Squared smaller than the specified value; otherwise, the likelihood of finding an Omega Squared larger than the specified value.
Value
domegaSq gives the density, pomegaSq gives the distribution function, qomegaSq gives the quantile function, and romegaSq generates random deviates.
### Generate 10 random Omega Squared valuesromegaSq(10, 66, 3);
### Probability of findings an Omega Squared### value smaller than .06 if it's 0 in the populationpomegaSq(.06, 66, 3);