predict.coadisc: Predict method for CDA

In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

Predict method for CDA

Description

Predicts class of the grouping factor based on a Correspondence Discriminant Analysis (performed using discrimin.coa).

Usage

## S3 method for class 'coadisc'
predict(object, newdata, method = c("mahalanobis", "euclidian"), ...)

Arguments

object	object of class inheriting from "coadisc".
newdata	contingency table (either a "matrix", "table" or "data.frame" object) giving new individuals (one row per individual).
method	distance metric to be used for prediction. In all cases the predicted class corresponds to the minimum distance between the new individual and the centroid of each class. Default is Mahalanobis distance.
...	further arguments to be passed to or from other methods.

Author(s)

Maxime HERVE <[e-mail]>

See Also

discrimin.coa

Examples

require(ade4)
data(perthi02)

CDA <- discrimin.coa(perthi02$tab,perthi02$cla,scan=FALSE)
new <- matrix(c(17,45,32,17,17,52,28,29,6,10,7,7,7,5,10,4,37,34,23,9),ncol=20)
predict(CDA,new)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.