rotation_pca {fdasrvf}R Documentation

Rotation Principal Component Analysis

Description

This function calculates functional principal component analysis on rotation data from

Usage

rotation_pca(align_data, no = 3, var_exp = NULL)

Arguments

align_data

fdacurve object from multivariate_karcher_mean of aligned data

no

number of principal components to extract

var_exp

compute no based on value percent variance explained (example: 0.95) will override no

Value

Returns a rotpca object containing

latent

latent values

coef

coefficients

U

eigenvectors


[Package fdasrvf version 2.4.0 Index]