ade4 (version 1.7-19)

discrimin.coa: Discriminant Correspondence Analysis

Description

performs a discriminant correspondence analysis.

Usage

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

Value

a list of class discrimin. See discrimin

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

Author

Daniel Chessel
Anne-Béatrice Dufour

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))