eig_decomp: Fast eigen decomposition using 'eigs'

In theislab/destiny: Creates diffusion maps

Fast eigen decomposition using eigs

Description

By default uses a random initialization vector that you can make deterministic using set.seed or override by specifying opts = list(initvec = ...).

Usage

eig_decomp(M, n_eigs, sym, ..., opts = list())

Arguments

M	A matrix (e.g. from the Matrix package) or a function (see eigs).
n_eigs	Number of eigenvectors to return.
sym	defunct and ignored.
...	Passed to eigs.
opts	Passed to eigs.

Value

see eigs.

Examples

eig_decomp(cbind(c(1,0,-1), c(0,1,0), c(-1,0,1)), 2)

theislab/destiny documentation built on Oct. 30, 2024, 1:39 a.m.