Learn R Programming

specmine (version 3.1.6)

pca_screeplot: PCA scree plot

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

Run this code
# NOT RUN {
  ## Example of a scree plot
  library(specmine.datasets)
  data(cachexia)
  pca.result = pca_analysis_dataset(cachexia)
  pca_screeplot(pca.result)
# }

Run the code above in your browser using DataLab