Description Usage Arguments Examples

This function calculates a permutation test version of the common language effect size. Unlike McGraw & Wong's original method, which used an algebraic/normal approximation, this version makes no assumptions about the distribution of the data. Each X observation is paired to each Y observation. The proportion of XY pairs where X is higher than Y is then computed and output. Ties count as 0.5*TRUE. Code adapted from https://janhove.github.io/reporting/2016/11/16/common-language-effect-sizes

1 |

`variable` |
continuous variable |

`group` |
dichotomous group |

`data` |
data |

`value1` |
assignement of group 1 |

`value2` |
assignement of group 2 |

`runs` |
max number of permutations |

1 |

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