pca.getB: Low-dimensional approximation of data matrix X

View source: R/pca.R

pca.getBR Documentation

Low-dimensional approximation of data matrix X

Description

Low-dimensional approximation of data matrix X

Usage

pca.getB(X, k = NULL, rand = NULL, dist = "unif")

Arguments

X

data matrix

k

rank of X (number of components)

rand

a vector with two values - number of iterations (q) and oversmapling parameter (p)

dist

distribution for generating random numbers, 'unif' or 'norm'


mdatools documentation built on Sept. 11, 2024, 7:59 p.m.