LOOCV.MultiWaveAnalysis function

LOOCV

Performs a leave-one-cross-validation (LOOCV) method on a MultiWaveAnalysis object. It is advisable to have selected a subset of all features (StepDiscrim,StepDiscrimV)

## S3 method for class 'MultiWaveAnalysis'
LOOCV(data, labels, method, returnClassification = FALSE, ...)

Arguments

• data: MultiWaveAnalysis object obtained with MultiWaveAnalysis function and preferably obtained a subset of its characteristics (StepDiscrim, StepDiscrimV)
• labels: Labeled vector that classify the observations.
• method: Selected method for discrimination. Valid options "linear" "quadratic"
• returnClassification: Allows to select if the raw result classification is returned.
• ...: Additional arguments

Returns

• if returnClassification is false return a object of class confusionMatrix
• if returnClassification is true, it returns a list containing an object of the confusionMatrix class and a vector with the classification result.

Examples

load(system.file("extdata/ECGExample.rda",package = "TSEAL"))
MWA <- MultiWaveAnalysis(ECGExample, "haar", features = c("var"))
MWADiscrim <- StepDiscrim(MWA, c(rep(1, 5), rep(2, 5)), 5,
                          features = c("var"))
CM <- LOOCV(MWADiscrim, c(rep(1, 5), rep(2, 5)), "linear")

See Also

• LOOCV
• LOOCV.array
• StepDiscrim
• StepDiscrimV