plotSelectivityArea.ddsimcares: Selectivity area plot (similar to ROC curve).

In mdatools: Multivariate Data Analysis for Chemometrics

Selectivity area plot (similar to ROC curve).

Description

The method generates a sequence of values for significance level (alpha) and then computes corresponding selectivity (1 - beta) for each value from the sequence using model parameters for given number of components and limit type. Then the values are shown as line plot using coordinates (1 - alpha) vs beta and area under the curve is shown in the plot title.

Current values of alpha and beta are shown on the plot as a marker.

Usage

## S3 method for class 'ddsimcares'
plotSelectivityArea(
  obj,
  ncomp = obj$ncomp.selected,
  limType = "classic",
  col = "#2679b2",
  xlab = bquote("1 - selectivity, " ~ beta),
  ylab = bquote("Sensitivity, 1 - " ~ alpha),
  ...
)

Arguments

obj	DD-SIMCA results (object of class ddsimcares).
ncomp	number of components in the model to show the plot for.
limType	limit type to show the plot for ('classic' or 'robust').
col	color of the plot elements.
xlab	label for x-axis.
ylab	label for y-axis.
...	other parameters compatible with mdaplot method.

mdatools documentation built on March 6, 2026, 5:08 p.m.