# 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:

The input arguments

Objects generated while computing the output

The output of the function, consisting of:

The point estimate

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

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

*Documentation reproduced from package userfriendlyscience, version 0.7.2, License: GPL (>= 3)*