tukey.test | R Documentation |

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

tukey.test(data, alpha = 0.05, critical.value = NA)

`data` |
data matrix |

`alpha` |
level of the test |

`critical.value` |
result of |

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.

Tukey, J.W.: One Degree of Freedom for Non-additivity, *Biometrics* **5**,
pp. 232–242, 1949.

`tusell.test`

, `mtukey.test`

, `mandel.test`

,
`lbi.test`

, `johnson.graybill.test`

data(Boik) tukey.test(Boik)

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