\HeaderA{pamr.plotfdr}{A function to plot the FDR curve from
the nearest shrunken centroid
classifier}{pamr.plotfdr}
\begin{Description}\relax
A function to plot the FDR curve
the nearest shrunken centroid
classifier
\end{Description}
\begin{Usage}
\begin{verbatim}
pamr.plotfdr(fdrfit,  call.win.metafile = FALSE)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{fdrfit}] The result of a call to pamr.fdr
\item[\code{call.win.metafile}] Used by Excel interface
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
\code{pamr.plotfdr} plots the FDR
curves   from nearest shrunken
centroid classifier. The median FDR (solid line) and upper 90 percentile
(broken line) are shown
\end{Details}
\begin{Value}
\end{Value}
\begin{Author}\relax
Trevor Hastie,Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
\end{Author}
\begin{References}\relax
\end{References}
\begin{Examples}
\begin{ExampleCode}
set.seed(120)
x <- matrix(rnorm(1000*20),ncol=20)
y <- sample(c(1:2),size=20,replace=TRUE)
x[1:50,y==2]=x[1:50,y==2]+3
mydata <- list(x=x,y=y)
mytrain <-   pamr.train(mydata)
myfdr <-  pamr.fdr(mytrain, mydata)
pamr.plotfdr(myfdr)
\end{ExampleCode}
\end{Examples}

