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

Share:

Description

Performs a Monte-Carlo test on a Costatis analysis.

Usage

1
costatis.randtest(KTX, KTY, nrepet = 999)

Arguments

KTX

an objet of class ktab

KTY

an objet of class ktab

nrepet

the number of permutations

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

1
2
3
4
5
6
7
8
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)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.