superpc.plotcv {superpc}R Documentation

Plot output from superpc.cv

Description

Plots pre-validation results from plotcv, to aid in choosing best threshold

Usage

superpc.plotcv(object, smooth = TRUE, smooth.df = 10, ...)

Arguments

object Object returned by superpc.cv
smooth Should plot be smoothed? Default TRUE.
smooth.df Degrees of fredom for smooth.spline, default 10.
... Additional plotting args to be passed to matplot

Details

Value

Author(s)

Eric Bair and Robert Tibshirani

See Also

Examples

set.seed(332)
x<-matrix(rnorm(1000*40),ncol=40)
y<-10+svd(x[1:60,])$v[,1]+ .1*rnorm(40)
status<- 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)

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

superpc.plotcv(aa)


[Package Contents]