trainModel.MultiWaveAnalysis {TSEAL}

Generates a discriminant model from an already generated "MultiWaveAnalysis".

Description

Generates a discriminant model from an already generated "MultiWaveAnalysis".

Usage

## S3 method for class 'MultiWaveAnalysis'
trainModel(data, labels, method, ...)

Arguments

data

A MultiWaveAnalysis object obtained with MultiWaveAnalysis function

labels

Labeled vector that classify the observations.

method

Selected method for discrimination. Valid options are "linear" and "quadratic"

...

Additional arguments

Value

A discriminant model based on selected method. It can be an object of the class lda or qda.

See Also

• MultiWaveAnalysis

• StepDiscrim

• StepDiscrimV

Examples

load(system.file("extdata/ECGExample.rda",package = "TSEAL"))
MWA <- MultiWaveAnalysis(ECGExample, "d6", features = c("Var"))
MWADiscrim <- StepDiscrim(MWA, c(rep(1, 5), rep(2, 5)), 5,
  features = c("Var")
)
model <- trainModel(MWADiscrim, c(rep(1, 5), rep(2, 5)), "linear")