randtest.pcaiv: Monte-Carlo Test on the percentage of explained (i.e....
In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
randtest.pcaiv R Documentation
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 documentation built on Feb. 16, 2023, 7:58 p.m.
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| randtest.pcaiv | R Documentation |
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 |
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)
R Package Documentation
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