Description Usage Arguments Details Value References See Also Examples

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

1 | ```
johnson.graybill.test(Y, alpha = 0.05, critical.value = NA, Nsim = 1000)
``` |

`Y` |
data matrix |

`alpha` |
level of the test |

`critical.value` |
result of |

`Nsim` |
number of simulations to be used for a critical value estimation |

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.

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.

Johnson, D.E. and Graybill, F.A.: An analysis of a two-way model with interaction and no replication,
*Journal of the American Statistical Association* **67**, pp. 862–868, 1972.

`tukey.test`

, `mtukey.test`

, `mandel.test`

,
`lbi.test`

, `tusell.test`

1 2 |

```
Johnson and Graybill test on 5% alpha-level:
Test statistic: 0.854
Critival value: 0.7433
The additivity hypothesis was rejected.
```

additivityTests documentation built on May 29, 2017, 3:37 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.