ade4 (version 1.7-19)

wca.coinertia: Within-class coinertia analysis

Description

Performs a within-class analysis after a coinertia analysis

Usage

# S3 method for coinertia
wca(x, fac, scannf = TRUE, nf = 2, ...)

Value

An object of the class witcoi. Outputs are described by the

print function

Arguments

x

a coinertia analysis (object of class coinertia) obtained by the function coinertia

fac

a factor partitioning the rows in classes

scannf

a logical value indicating whether the eigenvalues barplot should be displayed

nf

if scannf FALSE, an integer indicating the number of kept axes

...

further arguments passed to or from other methods

Author

Stéphane Dray and Jean Thioulouse

Details

This analysis is equivalent to do a within-class analysis on each initial dudi, and a coinertia analysis on the two within analyses. This function returns additional outputs for the interpretation.

References

Franquet E., Doledec S., and Chessel D. (1995) Using multivariate analyses for separating spatial and temporal effects within species-environment relationships. Hydrobiologia, 300, 425--431.

See Also

coinertia, wca

Examples

data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 4)
pca2 <- dudi.pca(meaudret$spe, scal = FALSE, scan = FALSE, nf = 4)
   
wit1 <- wca(pca1, meaudret$design$site, scan = FALSE, nf = 2)
wit2 <- wca(pca2, meaudret$design$site, scan = FALSE, nf = 2)
coiw <- coinertia(wit1, wit2, scannf = FALSE)

coi <- coinertia(pca1, pca2, scannf = FALSE, nf = 3)
coi.w <- wca(coi, meaudret$design$site, scannf = FALSE)
## coiw and coi.w are equivalent

plot(coi.w)