extractFDAWavelets: Discrete Wavelet transform features.
In riebetob/mlr: Machine Learning in R
Description
Usage
Arguments
Value
See Also
View source: R/extractFDAFeaturesMethods.R
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
riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.
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.
Description Usage Arguments Value See Also
View source: R/extractFDAFeaturesMethods.R
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.