plotPerformance.classmodel function

Performance plot for classification model

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

## 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.