testFilters: testFilters

In TSEAL: Time Series Analysis Library

testFilters

Description

This function performs a test with a series of filters defined by the user, for the maximum number of variables determined. This function can be used to compare the performance of different filters with a different number of variables to be considered and the differences between a linear and a quadratic discriminant.

Usage

testFilters(
  series,
  labels,
  maxvars,
  filters = c("haar", "d4", "d6", "d8", "la8"),
  features = c("Var", "Cor", "IQR", "PE", "DM"),
  lev = 0
)

Arguments

series	Samples from the population (dim x length x cases)
labels	Labeled vector that classify the observations.
maxvars	maximum number of variables included by the StepDiscrim algorithm. Must be grater than 0 and, in normal cases, lesser than 100
filters	Vector indicating the filters to be tested. To see the available filters use the function availableFilters
features	A list of characteristics that will be used for the classification process. To see the available features see availableFeatures
lev	Wavelet decomposition level, by default is selected using the "conservative" strategy. See chooseLevel function.

Value

A list that each element contains:

• CM: confusion matrix with a particular configuration using LOOCV

• Classification: a vector with the raw classification result. "1" if the observation belongs to the population 1 and "2" if belongs to the population 2.

• NVars: the total numbers of variables have been taken into account in the classification process

• Method: type of classifier used.

• Filter: filter used in the MultiWave analysis process

• Features: vector containing the features taken into account

See Also

• LOOCV

• MultiWaveAnalysis

• StepDiscrim

• availableFilters

• availableFeatures

Examples

load(system.file("extdata/ECGExample.rda",package = "TSEAL"))
# The dataset has the first 5 elements of class 1
# and the last 5 of class 2.
labels <- c(rep(1, 5), rep(2, 5))
result <- testFilters(ECGExample, labels, features=c("var","cor"),
          filters= c("haar","d4"), maxvars = 3)

TSEAL documentation built on July 2, 2024, 5:06 p.m.