ade4: randtest.pcaiv – R documentation

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randtest.pcaiv

Monte-Carlo Test on the percentage of explained (i.e. constrained) inertia

Description

Performs a Monte-Carlo test on on the percentage of explained (i.e. constrained) inertia. The statistic is the ratio of the inertia (sum of eigenvalues) of the constrained analysis divided by the inertia of the unconstrained analysis.

Usage

## S3 method for class 'pcaiv'
randtest(xtest, nrepet = 99, ...)
## S3 method for class 'pcaivortho'
randtest(xtest, nrepet = 99, ...)

Arguments

`xtest`	an object of class `pcaiv`, `pcaivortho` or `caiv`
`nrepet`	the number of permutations
`...`	further arguments passed to or from other methods

Value

a list of the class randtest

Author(s)

Stéphane Dray stephane.dray@univ-lyon1.fr, original code by Raphaël Pélissier

Examples

data(rpjdl)
millog <- log(rpjdl$mil + 1)
coa1 <- dudi.coa(rpjdl$fau, scann = FALSE)
caiv1 <- pcaiv(coa1, millog, scan = FALSE)
randtest(caiv1)

ade4

Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

v1.7-16

GPL (>= 2)

Authors

Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, Daniel Borcard, Pierre Legendre, Stéphanie Bougeard and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.

Initial release