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 confIntOmegaSq
print(x, ..., digits = 2)

## 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. Level of confidence for the confidence interval. Respectively the object to print, the number of digits to round to, and any additonal arguments to pass on to the print function.

## 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

## Examples


confIntOmegaSq(mtcars$mpg, mtcars$cyl);#> Omega squared: 95% CI = [.51; .81], point estimate = .71