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\name{draw.ddplot}
\alias{draw.ddplot}
\title{
Draw \emph{DD}-Plot
}
\description{
The function draws the \emph{DD}-plot either of the existing DD\eqn{\alpha}-classifier of the depth space.
Also accessible from \code{\link{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)
}
%- maybe also 'usage' for other objects documented here.
\arguments{
\item{ddalpha}{
DD\eqn{\alpha}-classifier (obtained by \code{\link{ddalpha.train}}).
}
\item{depth.space}{
The ready depth space obtained by \code{\link{depth.space.}}}
\item{cardinalities}{
Numerical vector of cardinalities of each class in \code{data}, each entry corresponds to one class.
}
\item{main}{
an overall title for the plot: see \code{\link{title}}
}
\item{xlab, ylab}{
class labels
}
\item{xlim, ylim}{
range of axis
}
\item{classes}{
vector of numbers of two classes used for depth calculation
}
\item{colors}{
vector of the classes' colors
}
\item{drawsep}{
draws the separation on the DD-plot (currently for 2 classes and not for knn)
}
}
\seealso{
\code{\link{ddalpha.train}}
\code{\link{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)
}
% Add one or more standard keywords, see file 'KEYWORDS' in the
% R documentation directory.
\keyword{ visualization }
|
