plotPerformance.classres function

Performance plot for classification results

Makes a plot with classification performance parameters vs. model complexity (e.g. number of components) for classification results.

## S3 method for class 'classres'
plotPerformance(
  obj,
  nc = 1,
  type = "b",
  param = c("sensitivity", "specificity", "misclassified"),
  labels = "values",
  ylab = "",
  ylim = c(0, 1.1),
  xticks = seq_len(obj$ncomp),
  show.plot = TRUE,
  ...
)

Arguments

• obj: classification results (object of class plsdares, simcamres, etc.).
• nc: if there are several classes, which class to make the plot for.
• type: type of the plot
• param: which performance parameter to make the plot for (can be a vector with several values).
• 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 x-axis tick values
• show.plot: logical, shall plot be created or just plot series object is needed
• ...: most of the graphical parameters from mdaplot function can be used.

Details

See examples in description of plsdares, simcamres, etc.