userfriendlyscience (version 0.7.2)

confIntOmegaSq: Confidence intervals for Omega Squared

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

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

# NOT RUN {
confIntOmegaSq(mtcars$mpg, mtcars$cyl);

# }