\HeaderA{Planarplot-methods}{Visualize Separability of different classes}{Planarplot.Rdash.methods}
\aliasA{Planarplot,data.frame,missing,formula-method}{Planarplot-methods}{Planarplot,data.frame,missing,formula.Rdash.method}
\aliasA{Planarplot,ExpressionSet,character,missing-method}{Planarplot-methods}{Planarplot,ExpressionSet,character,missing.Rdash.method}
\aliasA{Planarplot,matrix,factor,missing-method}{Planarplot-methods}{Planarplot,matrix,factor,missing.Rdash.method}
\aliasA{Planarplot,matrix,numeric,missing-method}{Planarplot-methods}{Planarplot,matrix,numeric,missing.Rdash.method}
\keyword{multivariate}{Planarplot-methods}
\begin{Description}\relax
Given two variables, the methods trains a classifier
(argument \code{classifier}) based on these two variables
and plots the resulting class regions, learning- and test
observations in the plane.

Appropriate variables are usually found by \code{\LinkA{GeneSelection}{GeneSelection}}.
\end{Description}
\begin{Section}{Methods}
\describe{

\item[X = "matrix", y = "numeric", f = "missing"] signature 1

\item[X = "matrix", y = "factor", f = "missing"] signature 2

\item[X = "data.frame", y = "missing", f = "formula"] signature 3

\item[X = "ExpressionSet", y = "character", f = "missing"] signature 4
}
For further argument and output information, consult
\code{\LinkA{Planarplot}{Planarplot}}.
\end{Section}

