R: Monte-Carlo test on a Costatis analysis (in C).

costatis.randtest {ade4} | R Documentation

## Monte-Carlo test on a Costatis analysis (in C).

### Description

Performs a Monte-Carlo test on a Costatis analysis.

### Usage

    costatis.randtest(KTX, KTY, nrepet = 999, ...)

### Arguments

`KTX` | an objet of class ktab
`KTY` | an objet of class ktab
`nrepet` | the number of permutations
`...` | further arguments passed to or from other methods

### Value

a list of the class `randtest`

### Author(s)

Jean Thioulouse Jean.Thioulouse@univ-lyon1.fr

### 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$season, scan = FALSE, scal = "total")
    pcaspe <- dudi.pca(meau$spe, scale = FALSE, scan = FALSE, nf = 2)
    wit2 <- wca(pcaspe, 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))
    costatis1 <- costatis(kta1, kta2, scan = FALSE)
    costatis.randtest(kta1, kta2)

[Package ade4 version 1.7-15 Index]