pca_mfd: Multivariate functional principal components analysis

Description Usage Arguments Value See Also Examples

View source: R/01_pca.mfd.R

Description

Multivariate functional principal components analysis (MFPCA) performed on an object of class mfd. It is a wrapper to fda::pca.fd, providing some additional arguments.

Usage

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pca_mfd(mfdobj, scale = TRUE, nharm = 20)

Arguments

mfdobj

A multivariate functional data object of class mfd.

scale

If TRUE, it scales data before doing MFPCA using scale_mfd. Default is TRUE.

nharm

Number of multivariate functional principal components to be calculated. Default is 20.

Value

Modified pca.fd object, with multivariate functional principal component scores summed over variables (fda::pca.fd returns an array of scores when providing a multivariate functional data object). Moreover, the multivariate functional principal components given in harmonics are converted to the mfd class.

See Also

scale_mfd

Examples

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library(funcharts)
mfdobj <- data_sim_mfd()
pca_obj <- pca_mfd(mfdobj)
plot_pca_mfd(pca_obj)

funcharts documentation built on March 15, 2021, 5:07 p.m.