Projections of Supplementary Columns
supcol.Rd
performs projections of supplementary columns.
Usage
supcol(x, ...)
# S3 method for class 'dudi'
supcol(x, Xsup, ...)
# S3 method for class 'coa'
supcol(x, Xsup, ...)
Details
If supcol.dudi
is used, the column vectors of Xsup
are projected without prior modification onto the principal components of dudi with the scalar product associated to the row weightings of dudi.
Value
A list of two components:
tabsup
data frame containing the array with the supplementary columns transformed or not
cosup
data frame containing the coordinates of the supplementary projections
Author
Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr
Examples
data(rpjdl)
rpjdl.coa <- dudi.coa(rpjdl$fau, scan = FALSE, nf = 4)
rpjdl.coa$co[1:3, ]
#> Comp1 Comp2 Comp3 Comp4
#> AR 1.3906689 -0.4366455 -0.08999631 0.4036248
#> CP -0.8298783 -0.2134175 -0.99500547 0.8763367
#> ST -0.6045373 0.1035953 -0.68205770 0.4254950
supcol(rpjdl.coa, rpjdl$fau[, 1:3])$cosup #the same
#> Comp1 Comp2 Comp3 Comp4
#> AR 1.3906689 -0.4366455 -0.08999631 0.4036248
#> CP -0.8298783 -0.2134175 -0.99500547 0.8763367
#> ST -0.6045373 0.1035953 -0.68205770 0.4254950
data(doubs)
dudi1 <- dudi.pca(doubs$fish, scal = FALSE, scan = FALSE)
if(adegraphicsLoaded()) {
g1 <- s.arrow(dudi1$co, plot = FALSE)
g2 <- s.arrow(supcol(dudi1, data.frame(scalewt(doubs$env)))$cosup, plab.cex = 2, plot = FALSE)
G <- superpose(g1, g2, plot = TRUE)
} else {
s.arrow(dudi1$co)
s.arrow(supcol(dudi1, data.frame(scalewt(doubs$env)))$cosup, add.p = TRUE, clab = 2)
symbols(0, 0, circles = 1, inches = FALSE, add = TRUE)
}