Extract functional principal component analysis features.

Source: R/extractFDAFeaturesMethods.R

The function extracts the functional principal components from a data.frame containing functional features. Uses stats::prcomp.

extractFDAFPCA(rank. = NULL, center = TRUE, scale. = FALSE)

Arguments

rank.

(integer(1))
Number of principal components to extract. Default is NULL
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()