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