extractFDAMultiResFeatures: Multiresolution feature extraction.

In guillermozbta/s2: Machine Learning in R

Description

The function extracts currently the mean of multiple segments of each curve and stacks them as features. The segments length are set in a hierachy way so the features cover different resolution levels.

Usage

extractFDAMultiResFeatures(res.level = 3L, shift = 0.5, curve.lens = NULL)

Arguments

res.level	[integer(1)] The number of resolution hierachy, each length is divided by a factor of 2.
shift	[numeric(1)] The overlapping proportion when slide the window for one step.
curve.lens	[integer] Curve subsequence lengths. Needs to sum up to the length of the functional.

Value

[data.frame].

See Also

Other fda_featextractor: extractFDAFPCA, extractFDAFourier, extractFDAWavelets

guillermozbta/s2 documentation built on May 17, 2019, 4:01 p.m.