Extract functional principal component analysis features.

Source: R/extractFDAFeaturesMethods.R

The function extracts the functional principal components from a data.frame containing functional features.

extractFDAFPCA(pve = 0.99, npc = NULL)

Arguments

pve	(numeric) Fraction of variance explained for the functional principal components. Default is 0.99.
npc	(integer) Number of principal components to extract. Overrides pve param. Default is NULL

Value

(data.frame).

See also

Other fda_featextractor: extractFDAFourier, extractFDAMultiResFeatures, extractFDAWavelets