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GAD (version 1.1.1)

GAD: Analysis of variance from general principles

Description

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.

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Version

Install

install.packages('GAD')

Monthly Downloads

1,407

Version

1.1.1

License

GPL (>= 2.0)

Maintainer

Leonardo SandriniNeto

Last Published

October 29th, 2012

Functions in GAD (1.1.1)

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