Plot of the Factorial Maps

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

Daniel Chessel

Examples

data(deug)
scatter(dd1 <- dudi.pca(deug$tab, scannf = FALSE, nf = 4), 
    posieig = "bottomright")


data(rhone)
dd1 <- dudi.pca(rhone$tab, nf = 4, scann = FALSE)
if(adegraphicsLoaded()) {
  scatter(dd1, row.psub.text = "Principal component analysis")
} else {
  scatter(dd1, sub = "Principal component analysis")
}
#> Error in s.label(dfxy = dd1$li, xax = 1, yax = 2, plot = FALSE, storeData = TRUE,     pos = -3, plabels = list(cex = 0.75), sub = "Principal component analysis"): non convenient selection for dfxy (can not be converted to dataframe)