mapLda | R Documentation |
The function draws two dimensional map of discriminant functions.
mapLda(
object,
xlim = c(-2, 2),
ylim = c(-2, 2),
npoints = 101,
prior = object$prior,
dimen = 2,
col = NULL
)
object |
Object obtained by |
xlim |
Limits of the |
ylim |
Limits of the |
npoints |
Number of points on y-axis and x-axis (i.e., drawing precision). |
prior |
Prior probabilities of class membership to estimate the model (they can be estimated based on the sample data or they can be provided by a reseacher). |
dimen |
Number of dimensions used for prediction. Probably only 2 (as these are used for drawing) makes sense. |
col |
Vector of mapping colors, default is |
No return value, called for side effects (plotting a map).
Aleš Žiberna
# Estimate the LDA model:
ldaCars <- ldaPlus(x = mtcars[,c(1, 3, 4, 5, 6)], grouping = mtcars[,10])
# Plot LDA map:
mapLda(ldaCars)
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