scatter.dudi: Plot of the Factorial Maps

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

Plot of the Factorial Maps

Description

performs the scatter diagrams of objects of class dudi.

Usage

## S3 method for class 'dudi'
scatter(x, xax = 1, yax = 2, clab.row = 0.75, clab.col = 1, 
    permute = FALSE, posieig = "top", sub = NULL, ...)

Arguments

x	an object of class dudi
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

Details

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).

Author(s)

Daniel Chessel

Examples

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")
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.