# confIntOmegaSq

0th

Percentile

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

confIntOmegaSq(mtcars$mpg, mtcars$cyl);


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

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