PCA: Principal Component Analysis

View source: R/scaling.R

PCAR Documentation

Principal Component Analysis

Description

Performs PCA of compositional data using a centred logratio distance

Usage

PCA(x, ...)

Arguments

x

an object of class compositional

...

optional arguments to R's princomp function

Value

an object of classes PCA, which is synonymous to the stats package's prcomp class.

Examples

data(Namib)
plot(MDS(Namib$Major,classical=TRUE))
dev.new()
plot(PCA(Namib$Major),asp=1)
print("This example demonstrates the equivalence of classical MDS and PCA")

provenance documentation built on May 29, 2024, 4:23 a.m.