ddalpha: depth.contours.ddalpha – R documentation

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depth.contours.ddalpha

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`	DDα-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`

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

Depth-Based Classification and Calculation of Data Depth

v1.3.11

GPL-2

Authors

Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]

Initial release

2020-01-09