ade4 (version 1.7-15)

RV.rtest: Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis (in R).

Description

performs a Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis.

Usage

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

Arguments

df1, df2

two data frames with the same rows

nrepet

the number of permutations

…

further arguments passed to or from other methods

Value

returns a list of class 'rtest'

References

Heo, M. & Gabriel, K.R. (1997) A permutation test of association between configurations by means of the RV coefficient. Communications in Statistics - Simulation and Computation, 27, 843-856.

Examples

# NOT RUN {
data(doubs)
pca1 <- dudi.pca(doubs$env, scal = TRUE, scann = FALSE)
pca2 <- dudi.pca(doubs$fish, scal = FALSE, scann = FALSE)
rv1 <- RV.rtest(pca1$tab, pca2$tab, 99)
rv1
plot(rv1)
# }