discrimin.coa: Discriminant Correspondence Analysis

Description Usage Arguments Value Author(s) References Examples

Description

performs a discriminant correspondence analysis.

Usage

1
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

1
2

Example output



ade4 documentation built on June 17, 2021, 5:14 p.m.

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