mdatools (version 0.5.3)

plotPerformance.classmodel: 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 = NULL, param = "specificity",
  type = "h", legend = NULL, main = NULL, xlab = "Components",
  ylab = "", ylim = c(0, 1.15), ...)

Arguments

obj

classification model (object of class plsda, simca, etc.).

nc

if there are several classes, which class to make the plot for (NULL - summary for all classes).

param

which parameter to make the plot for ('specificity', 'sensitivity', or 'misclassified')

type

type of the plot

legend

vector with legend items

main

main title for the plot

xlab

label for x axis

ylab

label for y axis

ylim

vector with two values - limits for y axis

...

most of the graphical parameters from mdaplotg function can be used.