Projections of Supplementary Columns
supcol.Rdperforms 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:
tabsupdata frame containing the array with the supplementary columns transformed or not
cosupdata 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)
}