R: Discriminant Correspondence Analysis

discrimin.coa {ade4} | R Documentation

## Discriminant Correspondence Analysis

### Description

performs a discriminant correspondence analysis.

### Usage

    discrimin.coa(df, fac, scannf = TRUE, nf = 2)

### Arguments

`df` | a data frame containing positive or null values
`fac` | a factor defining the classes of discriminant analysis
`scannf` | a logical value indicating whether the eigenvalues bar plot should be displayed
`nf` | if scannf FALSE, an integer indicating the number of kept axes

### Value

a list of class `discrimin`. See `discrimin`

### Author(s)

Daniel Chessel
Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

### References

Perriere, G.,Lobry, J. R. and Thioulouse J. (1996) Correspondence discriminant analysis: a multivariate method for comparing classes of protein and nucleic acid sequences. CABIOS, 12, 519–524.

Perriere, G. and Thioulouse, J. (2003) Use of Correspondence Discriminant Analysis to predict the subcellular location of bacterial proteins. Computer Methods and Programs in Biomedicine, 70, 2, 99–105.

### Examples

    data(perthi02)
    plot(discrimin.coa(perthi02$tab, perthi02$cla, scan = FALSE))

[Package ade4 version 1.7-19 Index]