Multivariate functional principal components analysis
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.
pca_mfd(mfdobj, scale = TRUE, nharm = 20)
mfdobj |
A multivariate functional data object of class mfd. |
scale |
If TRUE, it scales data before doing MFPCA
using |
nharm |
Number of multivariate functional principal components to be calculated. Default is 20. |
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.
library(funcharts) mfdobj <- data_sim_mfd() pca_obj <- pca_mfd(mfdobj) plot_pca_mfd(pca_obj)
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