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GAD  

Analysis of Variance from General Principles
View on CRAN: Click here


Download and install GAD package within the R console
Install from CRAN:
install.packages("GAD")

Install from Github:
library("remotes")
install_github("cran/GAD")

Install by package version:
library("remotes")
install_version("GAD", "2.0")



Attach the package and use:
library("GAD")
Maintained by
Leonardo Sandrini-Neto
[Scholar Profile | Author Map]
First Published: 2010-09-27
Latest Update: 2012-10-29
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.
How to cite:
Leonardo Sandrini-Neto (2010). GAD: Analysis of Variance from General Principles. R package version 2.0, https://cran.r-project.org/web/packages/GAD. Accessed 08 May. 2025.
Previous versions and publish date:
1.0 (2010-09-27 16:42), 1.1.1 (2012-10-29 08:57), 1.1 (2011-02-08 16:50)
Other packages that cited GAD R package
View GAD citation profile
Other R packages that GAD depends, imports, suggests or enhances
Complete documentation for GAD
Functions, R codes and Examples using the GAD R package
Some associated functions: C.test . GAD-package . as.fixed . as.random . estimates . gad . is.fixed . is.random . rats . rohlf95 . snails . snk.test . 
Some associated R codes: C.test.R . as.fixed.R . as.random.R . estimates.R . gad.R . is.fixed.R . is.random.R . snk.test.R .  Full GAD package functions and examples
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