depth.contours.ddalpha: Depth Contours

In ddalpha: Depth-Based Classification and Calculation of Data Depth

Depth Contours

Description

Builds the data depth contours for multiclass 2-dimensional data using the trained classifier. Also accessible from plot.ddalpha.

Usage

depth.contours.ddalpha(ddalpha,
              main = "", xlab="", ylab = "", 
              drawplot = T, frequency=100, levels = 10, drawsep = T, ...)

Arguments

ddalpha	DD\alpha-classifier (obtained by ddalpha.train).
main	an overall title for the plot: see title
xlab, ylab	labels of the axes
drawplot	if set to false, the contours are built on the existing plot.
frequency	number of points on each direction, x and y. Impacts the smoothness of the contours.
levels	numeric vector of levels at which to draw contour lines. If the vector contains only ONE element, the levels are generated automatically as seq(0, max(depth), length.out = levels).
drawsep	draws the separation on the DD-plot (currently for 2 classes and not for knn)
...	additional parameters passed to the depth functions and to plot

See Also

depth., depth.contours, depth.graph.

Examples

## Not run: 

par(mfrow = c(2,2))
data(hemophilia)

ddalpha = ddalpha.train(hemophilia, depth = "none")
depth.contours.ddalpha(ddalpha, main = "data")

for (depth in c("zonoid", "Mahalanobis", "projection", "spatial")){
  ddalpha = ddalpha.train(hemophilia, depth = depth)
  depth.contours.ddalpha(ddalpha, main = depth)
}

for (depth in c("halfspace", "simplicial", "simplicialVolume")){
  ddalpha = ddalpha.train(hemophilia, depth = depth, exact = T)
  depth.contours.ddalpha(ddalpha, main = depth)
}



## End(Not run)

ddalpha documentation built on Oct. 1, 2024, 1:07 a.m.