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ade4

procuste.rtest

Monte-Carlo Test on the sum of the singular values of a procustean rotation (in R).

Description

performs a Monte-Carlo Test on the sum of the singular values of a procustean rotation.

Usage

procuste.rtest(df1, df2, nrepet = 99, ...)

Arguments

df1

a data frame
df2

a data frame
nrepet

the number of permutations
...

further arguments passed to or from other methods

Value

returns a list of class rtest

Author(s)

Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

References

Jackson, D.A. (1995) PROTEST: a PROcustean randomization TEST of community environment concordance. Ecosciences, 2, 297–303.

Examples

data(doubs)
pca1 <- dudi.pca(doubs$env, scal = TRUE, scann = FALSE)
pca2 <- dudi.pca(doubs$fish, scal = FALSE, scann = FALSE)
proc1 <- procuste(pca1$tab, pca2$tab)
protest1 <- procuste.rtest(pca1$tab, pca2$tab, 999)
protest1
plot(protest1)
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

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