# scatter.dudi: Plot of the Factorial Maps

Description Usage Arguments Details Author(s) Examples

### Description

performs the scatter diagrams of objects of class `dudi`.

### Usage

 ```1 2 3``` ```## 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).

Daniel Chessel

### Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```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") } ```