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.

Install the latest version of this package by entering the following in R:

`install.packages("GAD")`

Author | Leonardo Sandrini-Neto & Mauricio G. Camargo |

Date of publication | 2012-10-29 08:57:06 |

Maintainer | Leonardo Sandrini-Neto <leonardosandrini@gmail.com> |

License | GPL (>= 2.0) |

Version | 1.1.1 |

**as.fixed:** Encodes a vector as a "fixed factor"

**as.random:** Encodes a vector as a "random factor"

**C.test:** Cochran's C test of homogeneity of variances

**estimates:** Estimates of an ANOVA design

**gad:** General ANOVA Design

**GAD-package:** Analysis of variance from general principles

**is.fixed:** Tests if a factor is fixed

**is.random:** Tests if a factor is ramdom

**rats:** Dataset - Glycogen content of rat livers.

**rohlf95:** Dataset - Mosquitos' wing data colleted by Rohlf and cited in...

**snails:** Dataset - Growth rates of snails on large boulders on...

**snk.test:** Student-Newman-Keuls (SNK) procedure

data

data/snails.rda

data/rohlf95.rda

data/rats.rda

NAMESPACE

man

man/rohlf95.Rd
man/is.random.Rd
man/rats.Rd
man/gad.Rd
man/snails.Rd
man/as.random.Rd
man/as.fixed.Rd
man/is.fixed.Rd
man/estimates.Rd
man/C.test.Rd
man/snk.test.Rd
man/GAD-package.Rd
inst

inst/CITATION

DESCRIPTION

MD5

R

R/gad.R
R/C.test.R
R/is.random.R
R/estimates.R
R/as.fixed.R
R/as.random.R
R/snk.test.R
R/is.fixed.R
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