# A three-way ANOVA for trimmed means.

### Description

This function computes a three-way ANOVA for trimmed means with all interactions effects.

### Usage

1 |

### Arguments

`formula` |
an object of class formula. |

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

`tr` |
trim level for the mean. |

### Value

Returns an object of class `t3way`

containing:

`Qa` |
first main effect |

`A.p.value` |
p-value first main effect |

`Qb` |
second main effect |

`B.p.value` |
p-value second main effect |

`Qc` |
third main effect |

`C.p.value` |
p-value third main effect |

`Qab` |
first two-way interaction effect |

`AB.p.value` |
p-value first two-way interaction effect |

`Qac` |
second two-way interaction effect |

`AC.p.value` |
p-value second two-way interaction effect |

`Qbc` |
third two-way interaction effect |

`BC.p.value` |
p-value third two-way interaction effect |

`Qabc` |
three-way interaction effect |

`ABC.p.value` |
p-value three-way interaction effect |

`call` |
function call |

`varnames` |
variable names |

### References

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

### See Also

`t1way`

, `t2way`

### Examples

1 |