pca_screeplot: PCA scree plot

In specmine: Metabolomics and Spectral Data Analysis and Mining

PCA scree plot

Description

Draws a scree plot with individual and cumulative explained variance.

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	PCA result object.
num.pcs	Number of principal components to display.
cex.leg	Legend text size.
leg.pos	Legend position.
lab.text	Legend labels.
fill.col	Line colours.
ylab	Y-axis label.
xlab	X-axis label.
...	Additional graphical parameters.

Value

No return value, called for its side effect of plotting.

Examples

datamat <- matrix(
  rnorm(20),
  nrow = 4,
  dimnames = list(paste0("x", 1:4), paste0("s", 1:5))
)
metadata <- data.frame(class = factor(c("A", "A", "B", "B", "A")))
dataset <- list(data = datamat, metadata = metadata)
pca_res <- pca_analysis_dataset(dataset)
pca_screeplot(pca_res)

specmine documentation built on Aug. 5, 2026, 5:06 p.m.