plotExtreme.pca: Extreme plot

In mdatools: Multivariate Data Analysis for Chemometrics

Extreme plot

Description

Shows a plot with number of expected vs. number of observed extreme objects for different significance levels (alpha values)

Usage

## S3 method for class 'pca'
plotExtreme(
  obj,
  res = obj$res[["cal"]],
  comp = obj$ncomp.selected,
  main = "Extreme plot",
  xlab = "Expected",
  ylab = "Observed",
  pch = rep(21, length(comp)),
  bg = mdaplot.getColors(length(comp)),
  col = rep("white", length(comp)),
  lwd = ifelse(pch %in% 21:25, 0.25, 1),
  cex = rep(1.2, length(comp)),
  ellipse.col = "#cceeff",
  legend.position = "bottomright",
  ...
)

Arguments

obj	a PCA model (object of class pca)
res	object with PCA results to show the plot for (e.g. calibration, test, etc)
comp	vector, number of components to show the plot for
main	plot title
xlab	label for x-axis
ylab	label for y-axis
pch	vector with values for pch parameter for each number of components
bg	vector with background color values for series of points (if pch=21:25)
col	vector with color values for series of points
lwd	line width for point symbols
cex	scale factor for data points
ellipse.col	color for tolerance ellipse
legend.position	position of the legend
...	other arguments

mdatools documentation built on Aug. 13, 2023, 1:06 a.m.