R: A three-way ANOVA for trimmed means.

t3way {WRS2} | R Documentation

## A three-way ANOVA for trimmed means.

### Description

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

### Usage

    t3way(formula, data, tr = 0.2)

### 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

    t3way(aggressive ~ degree*gender*type, data = movie)

[Package WRS2 version 0.9-2 Index]