predict.rrlda: Class Prediction for rrlda objects

In rrlda: Robust Regularized Linear Discriminant Analysis

Description

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

Usage

## S3 method for class 'rrlda'
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

rrlda documentation built on May 2, 2019, 7:23 a.m.