Makes a plot with classification performance parameters vs. model complexity (e.g. number of components) for classification results.
# S3 method for classres
plotPerformance(obj, nc = NULL, param = "all",
type = "h", legend = NULL, main = NULL, xlab = "Components",
ylab = "", ylim = c(0, 1.1), ...)classification results (object of class plsdares, simcamres, etc.).
if there are several classes, which class to make the plot for (NULL - summary for all classes).
which performance parameter to make the plot for ('sensitivity', 'specificity',
'misclassified', 'all').
type of the plot
vector with legend items
main title for the plot
label for x axis
label for y axis
vector with two values - limits for y axis
most of the graphical parameters from mdaplot function can be used.