klaR (version 0.3-0)

predict.rda: 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.
...

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.

See Also

rda

Examples

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

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