| extractFDAWavelets {mlr} | R Documentation |
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).
See Also
Other fda_featextractor:
extractFDABsignal(),
extractFDADTWKernel(),
extractFDAFPCA(),
extractFDAFourier(),
extractFDAMultiResFeatures(),
extractFDATsfeatures()
[Package
mlr version 2.17.0
Index]