Package: GAD 2.0

Leonardo Sandrini-Neto

GAD: Analysis of Variance from General Principles

Analysis of 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. For those terms with no denominator in the F-ratio calculation, pooled mean squares and quasi F-ratios are provided. Magnitute of effects are assessed by components of variation.

Authors:Leonardo Sandrini-Neto [aut, cre], Eliandro Gilbert [aut], Maurício Camargo [aut]

GAD_2.0.tar.gz
GAD_2.0.tar.gz(r-4.5-noble)GAD_2.0.tar.gz(r-4.4-noble)
GAD_2.0.tgz(r-4.4-emscripten)GAD_2.0.tgz(r-4.3-emscripten)
GAD.pdf |GAD.html✨
GAD/json (API)

# Install 'GAD' in R:
install.packages('GAD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • crabs - Distribution patterns of the crab _Ucides cordatus_ at different spatial scales
  • rats - Glycogen content of rat livers
  • rohlf95 - Mosquitos' wing data colleted by Rohlf and cited in Sokal & Rohlf
  • snails - Growth rates of snails on large boulders on different rock shores

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 50 scripts 893 downloads 10 exports 1 dependencies

Last updated 7 months agofrom:3a4130d233. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-linuxOKOct 30 2024

Exports:as.fixedas.randomC.testcomp.varestimatesgadis.fixedis.randompoolingsnk.test

Dependencies:matrixStats