`confIntOmegaSq.Rd`

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)

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. |

x, digits, … | Respectively the object to print, the number of digits to
round to, and any additonal arguments to pass on to the |

A `confIntOmegaSq`

object is returned, with as elements:

The input arguments

Objects generated while computing the output

The output of the function, consisting of:

The point estimate

The confidence interval

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

.

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

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