PCA: Principal Components Analysis

In barebone: Multivariate Methods in Ecology with R: Basic Algorithms

Description

Principal Components analysis via singular value decomposition.

Usage

PCA(Y, scale = FALSE)

Arguments

Y	Data Matrix
scale	Scale columns to unit variance.

Value

Function returns an object from svd with items:

d	Singular values which are the square roots of eigenvalues.
u	Orthonormal row scores.
v	Orthonormal column scores.

Note

Functions prcomp and rda (package vegan) use a similar algorithm.

Author(s)

Jari Oksanen

See Also

PCAeig, svd, prcomp.

barebone documentation built on May 2, 2019, 5:17 p.m.