Learn R Programming

ade4 (version 1.5-2)

between: Between-Class Analysis

Description

Outputs and graphical representations of the results of a between-class analysis.

Usage

## S3 method for class 'between':
plot(x, xax = 1, yax = 2, \dots) 
## S3 method for class 'between':
print(x, \dots)
## S3 method for class 'betcoi':
plot(x, xax = 1, yax = 2, \dots)
## S3 method for class 'betcoi':
print(x, \dots)

Arguments

x
an object of class between or betcoi
xax, yax
the column index of the x-axis and the y-axis
...
further arguments passed to or from other methods

encoding

latin1

References

Dol�dec, 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.

See Also

bca.dudi, bca.coinertia

Examples

Run this code
data(meaudret)
par(mfrow = c(2,2))
pca1 <- dudi.pca(meaudret$env, scan = FALSE, nf = 4)
s.class(pca1$li, meaudret$design$site,
    sub = "Principal Component Analysis (env)", csub = 1.75)
pca2 <- dudi.pca(meaudret$spe, scal = FALSE, scan = FALSE, nf = 4)
s.class(pca2$li, meaudret$design$site,
    sub = "Principal Component Analysis (spe)", csub = 1.75)
bet1 <- bca(pca1, meaudret$design$site, scan = FALSE, nf = 2)
bet2 <- bca(pca2, meaudret$design$site, scan = FALSE, nf = 2)
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)

Run the code above in your browser using DataLab