# GAD v1.1.1

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## GAD: Analysis of variance from general principles

This package analyses complex ANOVA models with any
combination of orthogonal/nested and fixed/random factors, as
described by Underwood (1997). There are two restrictions: (i)
data must be balanced; (ii) fixed nested factors are not
allowed. Homogeneity of variances is checked using Cochran's C
test and 'a posteriori' comparisons of means are done using
Student-Newman-Keuls (SNK) procedure.

## Functions in GAD

Name | Description | |

as.fixed | Encodes a vector as a "fixed factor" | |

GAD-package | Analysis of variance from general principles | |

is.fixed | Tests if a factor is fixed | |

C.test | Cochran's C test of homogeneity of variances | |

rohlf95 | Dataset - Mosquitos' wing data colleted by Rohlf and cited in Sokal & Rohlf (1995) | |

gad | General ANOVA Design | |

estimates | Estimates of an ANOVA design | |

as.random | Encodes a vector as a "random factor" | |

is.random | Tests if a factor is ramdom | |

rats | Dataset - Glycogen content of rat livers. | |

snails | Dataset - Growth rates of snails on large boulders on different rock shores. | |

snk.test | Student-Newman-Keuls (SNK) procedure | |

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## Details

Type | Package |

Date | 2011-02-21 |

License | GPL (>= 2.0) |

Packaged | 2012-10-29 08:57:06 UTC; ripley |

Repository | CRAN |

Date/Publication | 2012-10-29 08:57:06 |

depends | matrixStats , R (>= 2.7.0) , R.methodsS3 , stats |

Contributors | Leonardo Sandrini-Neto, Mauricio Camargo |

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