mlr: extractFDAWavelets – R documentation

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extractFDAWavelets

Discrete Wavelet transform features.

Description

The function extracts discrete wavelet transform coefficients from the raw functional data. See wavelets::dwt for more information.

Usage

extractFDAWavelets(filter = "la8", boundary = "periodic")

Arguments

`filter`	(`character(1)`) Specifies which filter should be used. Must be one of `d`\|`la`\|`bl`\|`c` followed by an even number for the level of the filter. The level of the filter needs to be smaller or equal then the time-series length. For more information and acceptable filters see `help(wt.filter)`. Defaults to `la8`.
`boundary`	(`character(1)`) Boundary to be used. “periodic” assumes circular time series, for “reflection” the series is extended to twice its length. Default is “periodic”.

Value

(data.frame).

Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Lars Kotthoff [aut], Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] (<https://orcid.org/0000-0001-5324-5966>), Mason Gallo [aut], Jakob Bossek [ctb] (<https://orcid.org/0000-0002-4121-4668>), Erich Studerus [ctb] (<https://orcid.org/0000-0003-4233-0182>), Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb] (<https://orcid.org/0000-0003-2862-1418>), Florian Fendt [ctb], Philipp Probst [ctb] (<https://orcid.org/0000-0001-8402-6790>), Xudong Sun [ctb] (<https://orcid.org/0000-0003-3269-2307>), Janek Thomas [ctb] (<https://orcid.org/0000-0003-4511-6245>), Bruno Vieira [ctb], Laura Beggel [ctb] (<https://orcid.org/0000-0002-8872-8535>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb], Steve Bronder [ctb], Alexander Engelhardt [ctb], Christoph Molnar [ctb], Annette Spooner [ctb]

Initial release

extractFDAWavelets

Description

Usage

Arguments

Value

See Also

mlr

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