draw.ddplot: Draw _DD_-Plot

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

Draw DD-Plot

Description

The function draws the DD-plot either of the existing DD\alpha-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	DD\alpha-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)

See Also

ddalpha.train

depth.space.

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