\name{pamr.plotstrata}
\alias{pamr.plotstrata}
\title{ A function to plot the survival curves in each Kaplan Meier stratum}
\description{A function to plot the survival curves in each Kaplan Meier stratum}


\usage{
pamr.plotstrata(fit, survival.time, censoring.status)
}

\arguments{
  \item{fit}{The result of a call to pamr.train}
  \item{survival.time}{Vector of survival times}
 \item{censoring.status}{Vector of censoring status values}
}    

\details{
}
\value{
}

\references{}


\author{ Trevor Hastie,Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu  }

\examples{

gendata<-function(n=100, p=2000){
  tim <- 3*abs(rnorm(n))
  u<-runif(n,min(tim),max(tim))
  y<-pmin(tim,u)
   ic<-1*(tim<u)
m <- median(tim)
x<-matrix(rnorm(p*n),ncol=n)
  x[1:100, tim>m] <-  x[1:100, tim>m]+3
  return(list(x=x,y=y,ic=ic))
}

# generate training data; 2000 genes, 100 samples

junk<-gendata(n=100)
y<-junk$y
ic<-junk$ic
x<-junk$x
d <- list(x=x, survival.time=y, censoring.status=ic,
          geneid=as.character(1:nrow(x)), 
          genenames=paste("g", as.character(1:nrow(x)),sep=""))

# train model
a3<- pamr.train(d, ngroup.survival=2)


pamr.plotstrata(a3, d$survival.time, d$censoring.status)
}

\keyword{ }