\HeaderA{plotclust}{Barplot of Bicluster}{plotclust}
\keyword{hplot}{plotclust}
\keyword{cluster}{plotclust}
\begin{Description}\relax
Draws a graph to compare the values inside the diffrent biclusters with the values outside the bicluster
\end{Description}
\begin{Usage}
\begin{verbatim}
plotclust(res,x,bicluster=TRUE,legende=FALSE,noC=5,wyld=3,Titel="Plotclust",...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] The data matrix
\item[\code{res}] BiclustResult object if bicluster=TRUE else a normal kcca object.
\item[\code{bicluster}] If TRUE,res is treated as a BiclustResult object
\item[\code{legende}] Draws a legend.
\item[\code{noC}] Number of Clusters drawn
\item[\code{wyld}] Gives the distance between plot and axis.
\item[\code{Titel}] Gives the title of the plot.
\item[\code{...}] Additional plot options
\end{ldescription}
\end{Arguments}
\begin{Author}\relax
Sebastian Kaiser
\email{sebastian.kaiser@stat.uni-muenchen.de}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{bubbleplot}{bubbleplot}} for simultaneous representation of biclusters.
\code{\LinkA{parallelCoordinates}{parallelCoordinates}}for single representation of biclusters as lines of gene or condition profiles.
\code{\LinkA{drawHeatmap}{drawHeatmap}}for Heatmap representation of biclusters.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}

  s2=matrix(rnorm(400),20,20)
  s2[12:16,12:16]=rnorm(25,3,0.3)
  set.seed(1)
  bics <- biclust(s2,BCPlaid(), back.fit = 2, shuffle = 3, fit.model = ~m + a + b,
  iter.startup = 5, iter.layer = 30,  verbose = TRUE)
  plotclust(bics,s2)

\end{ExampleCode}
\end{Examples}

