predict.rda: Regularized Discriminant Analysis (RDA)

In klaR: Classification and Visualization

Regularized Discriminant Analysis (RDA)

Description

Classifies new observations using parameters determined by the rda-function.

Usage

## S3 method for class 'rda'
predict(object, newdata, posterior = TRUE, 
    aslist = TRUE, ...)

Arguments

object	Object of class rda.
newdata	Data frame (or matrix) of cases to be classified.
posterior	Logical; indicates whether a matrix of posterior probabilites over all classes for each observation shall be returned in addition to classifications.
aslist	Logical; if TRUE, a list containing classifications and posterior probabilities is returned, otherwise a vector with an attribute ‘posterior’.
...	currently unused

Value

Depends on the value of argument ‘aslist’:

Either a vector (of class factor) of classifications that (optionally) has an attribute ‘posterior’ containing the posterior probability matrix, or

A list with elements ‘class’ and ‘posterior’.

Author(s)

Christian Röver, [e-mail]

See Also

rda

Examples

data(iris)
x <- rda(Species ~ ., data = iris, gamma = 0.05, lambda = 0.2)
predict(x, iris[, 1:4])

klaR documentation built on March 31, 2023, 7:19 p.m.