pamr.plotsurvival {pamr} R Documentation

## A function to plots Kaplan-Meier curves stratified by a group variable

### Description

A function to plots Kaplan-Meier curves stratified by a group variable

### Usage

```pamr.plotsurvival(group, survival.time, censoring.status)
```

### Arguments

 `group` A grouping factor `survival.time` Vector of survival times `censoring.status` Vector of censoring status values: 1=died, 0=censored

### Author(s)

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)

#make class predictions

yhat <- pamr.predict(a3,d\$x, threshold=1.0)

pamr.plotsurvival(yhat, d\$survival.time, d\$censoring.status)

```

[Package pamr version 1.28.0 Index]