ClustOfVar (version 1.1)

predict.clustvar: Scores of new objects on the synthetic variables of a given partition

Description

A partition of variables obtained with kmeansvar or with cutreevar is given in input. Each cluster of this partition is associated with a synthetic variable which is a linear combination of the variables of the cluster. The coefficients of these k linear combinations (one for each cluster) are used here to calculate new scores of a objects described in a new dataset (with the same variables). The output is the matrix of the scores of these new objects on the k synthetic variables.

Usage

# S3 method for clustvar
predict(object, X.quanti = NULL, X.quali = NULL, ...)

Arguments

object

an object of class clustvar

X.quanti

numeric matrix of data for the new objects

X.quali

a categorical matrix of data for the new objects

…

Further arguments to be passed to or from other methods. They are ignored in this function.

Value

Returns the matrix of the scores of the new objects on the k syntetic variables of the k-clusters partition given in input.

Examples

# NOT RUN {
data(wine)
n <- nrow(wine)
sub <- 10:20
data.sub <- wine[sub,] #learning sample
X.quanti <- wine[sub,c(3:29)] #learning sample
X.quali <- wine[sub,c(1,2)]
part <-kmeansvar(X.quanti, X.quali, init=5)
X.quanti.t <- wine[-sub,c(3:29)]
X.quali.t <- wine[-sub,c(1,2)]
new <- predict(part,X.quanti.t,X.quali.t)
# }