Description Usage Arguments Details Value References See Also Examples

This function computes a one-way ANOVA for the medians. Homoscedasticity assumption not required. There shouldn't be too many ties.

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`formula` |
an object of class formula. |

`data` |
an optional data frame for the input data. |

`iter` |
number of iterations to determine critical value. |

`...` |
currently ignored. |

Evaluating the test statistic using the df proposed in the literature can result in the actual level being less than the nominal level, (i.e., around 0.02-0.025 when testing at the 0.05 level and the sample size is small). A better strategy is to simulate the critical value and computing the p-value accordingly, as implemented in this function.

Returns an object of class `med1way`

containing:

`test` |
F-value of the test statistic |

`crit.val` |
critical value |

`p.value` |
p-value |

`call` |
function call |

Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.

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