extractFDAFourier: Fast Fourier transform features.
In riebetob/mlr: Machine Learning in R
Description
Usage
Arguments
Value
See Also
View source: R/extractFDAFeaturesMethods.R
Description
The function extracts features from functional data based on the fast fourier
transform. For more details refer to fft.
Usage
1
extractFDAFourier(trafo.coeff = "phase")
Arguments
trafo.coeff
[character]
Specifies which transformation of the complex frequency domain
representation should be calculated as a feature representation.
Must be one of “amplitude” or “phase”.
Default is “phase”.
Value
[data.frame].
See Also
Other fda_featextractor: extractFDAFPCA,
extractFDAMultiResFeatures,
extractFDAWavelets
riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.
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Description Usage Arguments Value See Also
View source: R/extractFDAFeaturesMethods.R
Description
The function extracts features from functional data based on the fast fourier
transform. For more details refer to fft.
Usage
1 | extractFDAFourier(trafo.coeff = "phase")
|
Arguments
trafo.coeff |
[ |
Value
[data.frame].
See Also
Other fda_featextractor: extractFDAFPCA,
extractFDAMultiResFeatures,
extractFDAWavelets
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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