pcaPPC: Principal component plot

In jrevenaugh/TSAUMN: Time Series Analysis Tools Used in ESCI5201 at the University of Minnesota

Description

Plot (optionally) scaled principal components produced by prcomp

Usage

pcaPPC(p, which = 1:length(p$sdev), scale = FALSE)

Arguments

p	"prcomp" list from prcomp
which	a vector with index vector of which PCs to show
scale	if TRUE, scale PCs by the reciprocal of standard deviation. If TRUE PCs share a common scale. If FALSE (default) scale depends on variance reduction.

Examples

# Not the best example--abscissa axes are very crowded.
p <- prcomp(USArrests, scale = TRUE)
pcaPPC( p, scale = TRUE )

jrevenaugh/TSAUMN documentation built on Nov. 8, 2019, 2:20 p.m.