R: Tusell Additivity Test

tusell.test {additivityTests} | R Documentation

## Tusell Additivity Test

### Description

Test for an interaction in two-way ANOVA table by the Tusell test.

### Usage

    tusell.test(Y, alpha = 0.05, critical.value = NA, Nsim = 1000)

### Arguments

`Y` | data matrix
`alpha` | level of the test
`critical.value` | result of `critical.values` function, see `Details`
`Nsim` | number of simulations to be used for a critical value estimation

### Details

The critical value can be computed in advance and given in the parameter `critical value`. If not a function `critical.values` is called to do that.

### Value

A list with class "`aTest`" containing the following components: test statistics `stat`, critical value `critical.value` and the result of the test `result`, i.e. whether the additivity hypothesis has been rejected.

### References

Tusell, F.: Testing for Interaction in Two-way ANOVA Tables with no Replication, Computational Statistics \& Data Analysis 10, pp. 29–45, 1990

### See Also

`tukey.test`, `mtukey.test`, `mandel.test`, `lbi.test`, `johnson.graybill.test`

### Examples

    data(Boik)
    tusell.test(Boik)

[Package additivityTests version 1.1-4 Index]