plotPerformance.classmodel: Performance plot for classification model

In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics

Performance plot for classification model

Description

Makes a plot with sensitivity values vs. model complexity (e.g. number of components)

Usage

## S3 method for class 'classmodel'
plotPerformance(
  obj,
  nc = 1,
  param = "misclassified",
  type = "b",
  labels = "values",
  ylab = "",
  ylim = c(0, 1.15),
  xticks = seq_len(dim(obj$res$cal$c.pred)[2]),
  res = obj$res,
  ...
)

Arguments

obj	classification model (object of class plsda, simca, etc.).
nc	class number to make the plot for.
param	which parameter to make the plot for ("specificity", "sensitivity", or "misclassified")
type	type of the plot
labels	what to show as labels for plot objects.
ylab	label for y axis
ylim	vector with two values - limits for y axis
xticks	vector with tick values for x-axis
res	list with result objects to show the plot for
...	most of the graphical parameters from mdaplotg function can be used.

svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.