rotation_pca: Rotation Principal Component Analysis

In fdasrvf: Elastic Functional Data Analysis

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

fdasrvf documentation built on Nov. 5, 2025, 5:51 p.m.