predict.coadisc {RVAideMemoire} | R Documentation |
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 |
newdata |
contingency table (either a |
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 <maxime.herve@univ-rennes1.fr>
See Also
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)
[Package RVAideMemoire version 0.9-83-7 Index]