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Makes a plot with sensitivity values vs. model complexity (e.g. number of components)
# S3 method for 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,
...
)classification model (object of class plsda, simca, etc.).
class number to make the plot for.
which parameter to make the plot for ("specificity", "sensitivity",
or "misclassified")
type of the plot
what to show as labels for plot objects.
label for y axis
vector with two values - limits for y axis
vector with tick values for x-axis
list with result objects to show the plot for
most of the graphical parameters from mdaplotg function can be used.