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.
|Author||Leonardo Sandrini-Neto & Mauricio G. Camargo|
|Date of publication||2012-10-29 08:57:06|
|Maintainer||Leonardo Sandrini-Neto <firstname.lastname@example.org>|
|License||GPL (>= 2.0)|
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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.