| scatter.dudi {ade4} | R Documentation |
performs the scatter diagrams of objects of class dudi.
## S3 method for class 'dudi'
scatter(x, xax = 1, yax = 2, clab.row = 0.75, clab.col = 1,
permute = FALSE, posieig = "top", sub = NULL, ...)
x |
an object of class |
xax |
the column number for the x-axis |
yax |
the column number for the y-axis |
clab.row |
a character size for the rows |
clab.col |
a character size for the columns |
permute |
if FALSE, the rows are plotted by points and the columns by arrows. If TRUE it is the opposite. |
posieig |
if "top" the eigenvalues bar plot is upside, if "bottom" it is downside, if "none" no plot |
sub |
a string of characters to be inserted as legend |
... |
further arguments passed to or from other methods |
scatter.dudi is a factorial map of individuals and the projection of the vectors of the canonical basis multiplied by a constante of rescaling. In the eigenvalues bar plot,the used axes for the plot are in black, the other kept axes in grey and the other in white.
The permute argument can be used to choose between the distance biplot (default) and the correlation biplot (permute = TRUE).
Daniel Chessel
data(deug)
scatter(dd1 <- dudi.pca(deug$tab, scannf = FALSE, nf = 4),
posieig = "bottomright")
data(rhone)
dd1 <- dudi.pca(rhone$tab, nf = 4, scann = FALSE)
if(adegraphicsLoaded()) {
scatter(dd1, row.psub.text = "Principal component analysis")
} else {
scatter(dd1, sub = "Principal component analysis")
}