| between {ade4} | R Documentation |
Outputs and graphical representations of the results of a between-class analysis.
## S3 method for class 'between' plot(x, xax = 1, yax = 2, ...) ## S3 method for class 'between' print(x, ...) ## S3 method for class 'betcoi' plot(x, xax = 1, yax = 2, ...) ## S3 method for class 'betcoi' print(x, ...) ## S3 method for class 'between' summary(object, ...)
x,object |
an object of class |
xax, yax |
the column index of the x-axis and the y-axis |
... |
further arguments passed to or from other methods |
Daniel Chessel
Anne B Dufour anne-beatrice.dufour@univ-lyon1.fr
Stephane Dray stephane.dray@univ-lyon1.fr
Dolédec, S. and Chessel, D. (1987) Rythmes saisonniers et composantes stationnelles en milieu aquatique I- Description d'un plan d'observations complet par projection de variables. Acta Oecologica, Oecologia Generalis, 8, 3, 403–426.
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$site, psub.text = "Principal Component Analysis (env)",
plot = F)
g2 <- s.class(pca2$li, meaudret$design$site, psub.text = "Principal Component Analysis (spe)",
plot = F)
g3 <- s.class(bet1$ls, meaudret$design$site, psub.text = "Between sites PCA (env)",
plot = F)
g4 <- s.class(bet2$ls, meaudret$design$site, psub.text = "Between sites PCA (spe)",
plot = F)
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)