\HeaderA{plot.stamPrediction}{Scatter Plot on Node Results}{plot.stamPrediction}
\keyword{hplot}{plot.stamPrediction}
\begin{Description}\relax
Plots nodewise performance vs. redundancy as well as nodewise sensitivity vs. 
specificity side by side.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'stamPrediction':
plot(x, outfile = NULL, aclass = NULL, 
                    main = NULL, minspec = 0.9, 
                    minsens = 0.1, maxsens = 1, 
                    res = 72, ps = FALSE, pointsize = 12, 
                    ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] object of class stamPrediction to be plotted
\item[\code{outfile}] name of output file if postscript or PNG graphics is to be generated. 
The extension of the file is chosen automatically according to the \code{ps} argument.
If no outfile is specified, an interactive plot is attempted
\item[\code{aclass}] the name of the phenotype class of interest, usually the disease class.
If set to NULL the first class in lexicographical order is chosen.
\item[\code{main}] the main title of the plot, generated automatically if left blank
\item[\code{minspec}] if given the corresponding horizontal line is drawn in the sensitivity 
vs. specificity plot
\item[\code{minsens}] if given the corresponding vertical line is drawn in the sensitivity 
vs. specificity plot
\item[\code{maxsens}] if given the corresponding vertical line is drawn in the sensitivity 
vs. specificity plot
\item[\code{res}] resolution in points per inch
\item[\code{ps}] if set to TRUE postscript output is generated
\item[\code{pointsize}] the standard fontsize
\item[\code{...}] additional arguments to be passed to plot
\end{ldescription}
\end{Arguments}
\begin{Author}\relax
Claudio Lottaz
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{stam.predict}{stam.predict}}
\end{SeeAlso}

