Extract functional principal component analysis features.
Source:R/extractFDAFeaturesMethods.R
extractFDAFPCA.Rd
The function extracts the functional principal components from a data.frame
containing functional features. Uses stats::prcomp
.
Arguments
- rank.
(
integer(1)
)
Number of principal components to extract. Default isNULL
- center
(
logical(1)
)
Should data be centered before applying PCA?- scale.
(
logical(1)
)
Should data be scaled before applying PCA?
Value
(data.frame).
See also
Other fda_featextractor:
extractFDABsignal()
,
extractFDADTWKernel()
,
extractFDAFourier()
,
extractFDAMultiResFeatures()
,
extractFDATsfeatures()
,
extractFDAWavelets()