extractFDAWavelets: Discrete Wavelet transform features.
In guillermozbta/mir: Machine Learning in R
Description
Usage
Arguments
Value
See Also
Description
The function extracts discrete wavelet transform coefficients from the raw
functional data.
See dwt for more information.
Usage
1
extractFDAWavelets(filter = "la8", boundary = "periodic")
Arguments
filter
[character]
Specifies which filter should be used.
Default is “la8”.
boundary
[character]
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: extractFDAFPCA,
extractFDAFourier,
extractFDAMultiResFeatures
guillermozbta/mir documentation built on May 11, 2019, 6:27 p.m.
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Description Usage Arguments Value See Also
Description
The function extracts discrete wavelet transform coefficients from the raw
functional data.
See dwt for more information.
Usage
1 | extractFDAWavelets(filter = "la8", boundary = "periodic")
|
Arguments
filter |
[ |
boundary |
[ |
Value
[data.frame].
See Also
Other fda_featextractor: extractFDAFPCA,
extractFDAFourier,
extractFDAMultiResFeatures
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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