PCApot1: Principal Component Analysis

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

Description

First axis of Principal Component Analysis using power method.

Usage

PCApot1(Y, scale = FALSE)

Arguments

Y	Data matrix.
scale	Scale columns to unit variance.

Details

This is the poorest algorithm of performing PCA, and is included only to show how simple it is. The function only finds one axis. It would be possible to find later axes by orthogonalizing against previous axes, but that is not worthwhile with an algorithm as poor as this one.

Value

The function returns an object with items:

eig	Eigenvalue of the first axis.
ueig	Rowscores scaled by eigenvalues.
v	Orthonormal column scores.

Author(s)

Jari Oksanen.

References

?

See Also

PCA and PCAeig for better algorithms.

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