\HeaderA{toplist}{Display  'top' variables}{toplist}
\aliasA{toplist,genesel-method}{toplist}{toplist,genesel.Rdash.method}
\keyword{multivariate}{toplist}
\begin{Description}\relax
This is a convenient method to get quick
access to the most important variables, based
on the result of call to \code{\LinkA{GeneSelection}{GeneSelection}}.
\end{Description}
\begin{Usage}
\begin{verbatim}
toplist(object, k = 10, iter = 1, show = TRUE, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object}] An object of \code{\LinkA{genesel}{genesel}}.
\item[\code{k}] Number of top genes for which information should be displayed.
Defaults to 10.
\item[\code{iter}] teration number (\code{learningset}) for which tuning
results should be displayed.
\item[\code{show}] Should the results be printed ? Default is \code{TRUE}.
\item[\code{...}] Currently unused argument.
\end{ldescription}
\end{Arguments}
\begin{Value}
The type of output depends on the gene selection scheme. For
the multiclass case, if gene selection has been run with
the \code{"pairwise"} or \code{"one-vs-all"} scheme, then the
output will be a list of \code{data.frames}, each containing
the gene indices plus variable importance for the top \code{k}
genes. The list elements are named according to the binary
scenarios (e.g., \code{1 vs. 3}).
Otherwise, a single \code{data.frame} is returned.
\end{Value}
\begin{Author}\relax
Martin Slawski \email{martin.slawski@campus.lmu.de}

Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{genesel}{genesel}}, \code{\LinkA{GeneSelection}{GeneSelection}}, \code{\LinkA{plot,genesel-method}{plot,genesel.Rdash.method}}
\end{SeeAlso}

