superpc.plot.lrtest {superpc}R Documentation

Plot likelhiood ratio test statistics

Description

Plot likelhiood ratio test statistics from output of superpc.predict

Usage

superpc.plot.lrtest(object.lrtestcurv)

Arguments

object.lrtestcurv Output from superpc.lrtest.curv

Details

Value

Author(s)

Eric Bair and Robert Tibshirani

See Also

Examples


set.seed(332)
#generate some data

x<-matrix(rnorm(1000*40),ncol=40)
y<-10+svd(x[1:60,])$v[,1]+ .1*rnorm(40)
ytest<-10+svd(x[1:60,])$v[,1]+ .1*rnorm(40)
status<- sample(c(rep(1,30),rep(0,10)))
status.test<- sample(c(rep(1,30),rep(0,10)))

featurenames <- paste("feature",as.character(1:1000),sep="")
data<-list(x=x,y=y, status=status, featurenames=featurenames)
data.test<-list(x=x,y=ytest, status=status.test, featurenames= featurenames)


a<- superpc.train(data, type="survival")
aa<-superpc.cv(a, data)

fit<- superpc.predict(a, data, data.test, threshold=1.0, n.components=1, prediction.type="continuous")

bb<-superpc.lrtest.curv(a,data,data.test)

superpc.plot.lrtest(bb)


[Package Contents]