R: Plot of the Factorial Maps

scatter.dudi {ade4} | R Documentation

## 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")
    }

[Package ade4 version 1.7-18 Index]