pca_screeplot: PCA scree plot

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

PCA scree plot with the proportion and cumulative variance of the PCs.

Usage

pca_screeplot(pca.result, num.pcs = NULL, cex.leg = 0.8, 
leg.pos = "right", lab.text = c("individual percent", 
"cumulative percent"), fill.col = c("blue", "red"), 
ylab = "Percentage", xlab = "Principal components", ...)

Arguments

pca.result	prcomp object with the PCA results.
num.pcs	number of principal components.
cex.leg	cex value of legend.
leg.pos	legend position.
lab.text	legend's labels.
fill.col	color of the legend's boxes.
ylab	y-axis label.
xlab	x-axis label
...	additional parameters to matplot.

Examples

  ## Example of a scree plot
  library(specmine.datasets)
  data(cachexia)
  pca.result = pca_analysis_dataset(cachexia)
  pca_screeplot(pca.result)

specmine documentation built on Sept. 21, 2021, 5:06 p.m.