predict.rrlda

From rrlda v1.1 by Moritz Gschwandtner

Class Prediction for rrlda objects

Computes class predictions for new data based on a given rrlda object.

Keywords: file

Usage

"predict"(object, x, ...)

Arguments

object: An object of class "rrlda".
x: New data for which the classes are to predict
...: Argument used by generic function predict(object, x, ...).

Details

Based on the estimated inverse covariance matrix and the mean of each group (stored in object), discriminant values are computed. An observations is classified as group k, if the corresponding discriminant value is a minimum.

Value

class: Class prediction for each observation.
posterior: Discriminant values.

Examples

	data(iris)
	x <- iris[,1:4]
	rr <- rrlda(x, grouping=as.numeric(iris[,5]), lambda=0.2, hp=0.75) ## perform rrlda
	pred <- predict(rr, x) ## predict 
	table(as.numeric(pred$class), as.numeric(iris[,5])) ## show errors

Documentation reproduced from package rrlda, version 1.1, License: GPL (>= 3)

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