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 B Dufour dufour@biomserv.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))

Worked out examples


> library(ade4)
> ### Name: discrimin.coa
> ### Title: Discriminant Correspondence Analysis
> ### Aliases: discrimin.coa
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> data(perthi02)
> plot(discrimin.coa(perthi02$tab, perthi02$cla, scan = FALSE))
> 
> 
> 
> 

[Package ade4 Index]