plotPredictions.classmodel: Predictions plot for classification model

In mdatools: Multivariate Data Analysis for Chemometrics

Predictions plot for classification model

Description

Makes a plot with class predictions for a classification model.

Usage

## S3 method for class 'classmodel'
plotPredictions(
  obj,
  res.name = NULL,
  nc = seq_len(obj$nclasses),
  ncomp = NULL,
  main = NULL,
  ...
)

Arguments

obj	a classification model (object of class simca, plsda, etc.). if NULL value is specified, the result will be selected automatically by checking the nearest available from test, cv and calibration results.
res.name	name of result object to make the plot for ("test", "cv" or "cal").
nc	vector with class numbers to make the plot for.
ncomp	what number of components to make the plot for.
main	title of the plot (if NULL will be set automatically)
...	most of the graphical parameters from mdaplotg function can be used.

Details

See examples in description of plsda, simca or simcam.

mdatools documentation built on Sept. 11, 2024, 7:59 p.m.