predict.rrlda

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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.

Aliases
  • predict.rrlda
  • predict
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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