PERMANOVA.Estimation: Estimation of the PERMANOVA parameters
In PERMANOVA: Multivariate Analysis of Variance Based on Distances and Permutations

Description Usage Arguments Details Value Author(s) References

Estimation of the PERMANOVA parameters.

1	PERMANOVA.Estimation(D, X, C, Effects = NULL)

`D`	A matrix of distances.
`X`	A matrix of independent variables.
`C`	Contrast matrix. By default it is null and the identity is used.
`Effects`	A factor with the effects in the rows of C. By default it is null and each row is considered as an effect.

Estimation of the PERMANOVA parameters.

`Global`	Significance for the global effect
`Contrastes`	Significance for each contrast

Laura Vicente-Gonzalez, Jose Luis Vicente-Villardon

Anderson, M. J. (2008). A new method for non-parametric multivariate analysis of variance. Austral ecology, 26(1):32–46.

Anderson, M. J. (2005). Permanova: a fortran computer program for permutational multivariate analysis of variance. Department of Statistics, University of Auckland, New Zealand, 24.

PERMANOVA documentation built on Sept. 6, 2021, 5:07 p.m.