ddalpha: draw.ddplot – R documentation

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draw.ddplot

Draw DD-Plot

Description

The function draws the DD-plot either of the existing DDα-classifier of the depth space. Also accessible from plot.ddalpha.

Usage

draw.ddplot(ddalpha, depth.space, cardinalities, 
            main = "DD plot", xlab = "C1", ylab = "C2", xlim, ylim,
            classes = c(1, 2), colors = c("red", "blue", "green"), drawsep = T)

Arguments

`ddalpha`	DDα-classifier (obtained by `ddalpha.train`).
`depth.space`	The ready depth space obtained by `depth.space.`
`cardinalities`	Numerical vector of cardinalities of each class in `data`, each entry corresponds to one class.
`main`	an overall title for the plot: see `title`
`xlab, ylab`	class labels
`xlim, ylim`	range of axis
`classes`	vector of numbers of two classes used for depth calculation
`colors`	vector of the classes' colors
`drawsep`	draws the separation on the DD-plot (currently for 2 classes and not for knn)

Examples

data = getdata("kidney")
  
  #1. using the existing ddalpha classifier
  ddalpha = ddalpha.train(data, depth = "spatial")
  draw.ddplot(ddalpha, main = "DD-plot")
  
  #2. using depth.space.
  # Sort the data w.r.t. classes
  data = rbind(data[data$C == 1,], data[data$C == 2,])
  cardinalities = c(sum(data$C == 1), sum(data$C == 2))
  
  dspace = depth.space.spatial(data[,-6], cardinalities = cardinalities)
  draw.ddplot(depth.space = dspace, cardinalities = cardinalities, 
              main = "DD-plot", xlab = 1, ylab = 2)

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