| 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))