confIntOmegaSq: Confidence intervals for Omega Squared
In Matherion/ufs: Quantitative Analysis Made Accessible

Description Usage Arguments Value Note Author(s) References Examples

This function uses the MBESS function MBESS::conf.limits.ncf() and convert.ncf.to.omegasq() to compute the point estimate and confidence interval for Omega Squared (which have been lifted out of MBESS to avoid importing the whole package)

confIntOmegaSq(var1, var2, conf.level = 0.95)

## S3 method for class 'confIntOmegaSq'
print(x, ..., digits = 2)

`var1, var2`	The two variables: one should be a factor (or will be made a factor), the other should have at least interval level of measurement. If none of the variables is a factor, the function will look for the variable with the least unique values and change it into a factor.
`conf.level`	Level of confidence for the confidence interval.
`x, digits, ...`	Respectively the object to print, the number of digits to round to, and any additonal arguments to pass on to the `print` function.

A confIntOmegaSq object is returned, with as elements:

`input`	The input arguments
`intermediate`	Objects generated while computing the output
`output`	The output of the function, consisting of:
`output$es`	The point estimate
`output$ci`	The confidence interval

Formula 16 in Steiger (2004) is used for the conversion in convert.ncf.to.omegasq().

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters gjalt-jorn@userfriendlyscience.com

Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9(2), 164-82. https://doi.org/10.1037/1082-989X.9.2.164