confIntOmegaSq

Confidence intervals for Omega Squared

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.

Keywords
bivar
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.

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

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

# }
Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)

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