confIntOmegaSq: Confidence intervals for Omega Squared

In userfriendlyscience: Quantitative Analysis Made Accessible

Description

This function used the MBESS function conf.limits.ncf and convert.ncf.to.omegasq to compute the point estimate and confidence interval for Omega Squared.

Usage

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

Arguments

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.

Value

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

Note

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

Author(s)

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <[e-mail]>

References

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

Examples

confIntOmegaSq(mtcars$mpg, mtcars$cyl);

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.