Multiple range tests for all pairwise comparisons, to obtain a confident inequalities multiple range tests.

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`y` |
model(aov or lm) or answer of the experimental unit |

`trt` |
Constant( only y=model) or vector treatment applied to each experimental unit |

`DFerror` |
Degree free |

`MSerror` |
Mean Square Error |

`alpha` |
Significant level |

`group` |
TRUE or FALSE |

`main` |
Title |

`console` |
logical, print output |

It is necessary first makes a analysis of variance.

`y ` |
class (aov or lm) or vector numeric |

`trt ` |
constant (only y=model) or vector alfanumeric |

`DFerror ` |
Numeric |

`MSerror ` |
Numeric |

`alpha ` |
Numeric |

`group` |
Logic |

`main ` |
Text |

Felipe de Mendiburu

Multiple comparisons theory and methods. Departament of statistics the Ohio State University. USA, 1996. Jason C. Hsu. Chapman Hall/CRC

`LSD.test`

, `waller.test `

, `duncan.test`

,
`HSD.test `

, `SNK.test `

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