Semi-metric based on Principal Components — semimetric.pca • fdars

Computes a semi-metric based on the first ncomp principal component scores.

Usage

semimetric.pca(fdataobj, fdataref = NULL, ncomp = 2, ...)

Arguments

fdataobj: An object of class 'fdata'.
fdataref: An object of class 'fdata'. If NULL, uses fdataobj.
ncomp: Number of principal components to use.
...: Additional arguments (ignored).

Value

A distance matrix based on PC scores.

Examples

fd <- fdata(matrix(rnorm(200), 20, 10))
D <- semimetric.pca(fd, ncomp = 3)