RV.randtest {ade4} | R Documentation |
Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis (in C++ with Rcpp).
Description
performs a Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis.
Usage
RV.randtest(df1, df2, nrepet = 999, ...)
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 'randtest'
Author(s)
Daniel Chessel and Jean Thioulouse
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
data(doubs)
pca1 <- dudi.pca(doubs$env, scal = TRUE, scann = FALSE)
pca2 <- dudi.pca(doubs$fish, scal = FALSE, scann = FALSE)
rv1 <- RV.randtest(pca1$tab, pca2$tab, 99)
rv1
plot(rv1)
[Package ade4 version 1.7-22 Index]