data(meaudret)
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 4)
pca2 <- dudi.pca(meaudret$spe, scal = FALSE, scan = FALSE, nf = 4)
bet1 <- bca(pca1, meaudret$design$site, scan = FALSE, nf = 2)
bet2 <- bca(pca2, meaudret$design$site, scan = FALSE, nf = 2)
if(adegraphicsLoaded()) {
g1 <- s.class(pca1$li, meaudret$design$site, psub.text = "Principal Component Analysis (env)",
plot = FALSE)
g2 <- s.class(pca2$li, meaudret$design$site, psub.text = "Principal Component Analysis (spe)",
plot = FALSE)
g3 <- s.class(bet1$ls, meaudret$design$site, psub.text = "Between sites PCA (env)",
plot = FALSE)
g4 <- s.class(bet2$ls, meaudret$design$site, psub.text = "Between sites PCA (spe)",
plot = FALSE)
G <- ADEgS(list(g1, g2, g3, g4), layout = c(2, 2))
} else {
par(mfrow = c(2, 2))
s.class(pca1$li, meaudret$design$site, sub = "Principal Component Analysis (env)", csub = 1.75)
s.class(pca2$li, meaudret$design$site, sub = "Principal Component Analysis (spe)", csub = 1.75)
s.class(bet1$ls, meaudret$design$site, sub = "Between sites PCA (env)", csub = 1.75)
s.class(bet2$ls, meaudret$design$site, sub = "Between sites PCA (spe)", csub = 1.75)
par(mfrow = c(1,1))
}
coib <- coinertia(bet1, bet2, scann = FALSE)
plot(coib)
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