R: Plot likelhiood ratio test statistics

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, call.win.metafile = FALSE)

### Arguments

`object.lrtestcurv` | Output from superpc.lrtest.curv
`call.win.metafile` | For use by PAM Excel interface

### Author(s)

Eric Bair and Robert Tibshirani

### 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)
    censoring.status<- sample(c(rep(1,30),rep(0,10)))
    censoring.status.test<- sample(c(rep(1,30),rep(0,10)))

    featurenames <- paste("feature",as.character(1:1000),sep="")
    data<-list(x=x,y=y, censoring.status=censoring.status, featurenames=featurenames)
    data.test<-list(x=x,y=ytest, censoring.status=censoring.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 superpc version 1.09 Index]