ade4 (version 1.7-19)

statico.krandtest: Monte-Carlo test on a Statico analysis (in C).

Description

Performs the series of Monte-Carlo coinertia tests of a Statico analysis (one for each couple of tables).

Usage

statico.krandtest(KTX, KTY, nrepet = 999, ...)

Value

krandtest, a list of randtest objects. See krandtest

Arguments

KTX

an objet of class ktab containing the environmental data

KTY

an objet of class ktab containing the species data

nrepet

the number of permutations

...

further arguments passed to or from other methods

Author

Jean Thioulouse

WARNING

IMPORTANT : KTX and KTY must have the same k-tables structure, the same number of columns, and the same column weights.

Details

This function takes 2 ktabs and does a coinertia analysis with coinertia on each pair of tables. It then uses the randtest function to do a permutation test on each of these coinertia analyses.

References

Thioulouse J. (2011). Simultaneous analysis of a sequence of paired ecological tables: a comparison of several methods. Annals of Applied Statistics, 5, 2300-2325.

Examples

data(meau)
wit1 <- withinpca(meau$env, meau$design$season, scan = FALSE, scal = "total")
spepca <- dudi.pca(meau$spe, scale = FALSE, scan = FALSE, nf = 2)
wit2 <- wca(spepca, meau$design$season, scan = FALSE, nf = 2)
kta1 <- ktab.within(wit1, colnames = rep(c("S1","S2","S3","S4","S5","S6"), 4))
kta2 <- ktab.within(wit2, colnames = rep(c("S1","S2","S3","S4","S5","S6"), 4))
statico1 <- statico(kta1, kta2, scan = FALSE)
kr1 <- statico.krandtest(kta1, kta2)
plot(kr1)