Description Usage Arguments Value Note Author(s) References Examples

View source: R/confIntOmegaSq.R

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.

1 | ```
confIntOmegaSq(var1, var2, conf.level = 0.95)
``` |

`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. |

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 |

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

.

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <[email protected]>

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

1 | ```
confIntOmegaSq(mtcars$mpg, mtcars$cyl);
``` |

userfriendlyscience documentation built on Sept. 25, 2018, 9:05 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.