R: Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

quantile.prodlim {prodlim} | R Documentation

## Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

### Description

Quantiles for Kaplan-Meier and Aalen-Johansen estimates.

### Usage

    ## S3 method for class 'prodlim'
    quantile(x, q, cause = 1, ...)

### Arguments

`x` | Object of class `"prodlim"`.
`q` | Quantiles. Vector of values between 0 and 1.
`cause` | For competing risks the cause of interest.
`...` | not used

### Author(s)

Thomas Alexander Gerds <tag@biostat.ku.dk>

### Examples

    library(lava)
    set.seed(1)
    d=SimSurv(30)

    # Quantiles of the potential followup time
    g=prodlim(Hist(time,status)~1,data=d,reverse=TRUE)
    quantile(g)

    # survival time
    f=prodlim(Hist(time,status)~1,data=d)
    f1=prodlim(Hist(time,status)~X1,data=d)
    # default: median and IQR
    quantile(f)
    quantile(f1)
    # median alone
    quantile(f,.5)
    quantile(f1,.5)

    # competing risks
    set.seed(3)
    dd = SimCompRisk(30)
    ff=prodlim(Hist(time,event)~1,data=dd)
    ff1=prodlim(Hist(time,event)~X1,data=dd)
    ## default: median and IQR
    quantile(ff)
    quantile(ff1)

    print(quantile(ff1),na.val="NA")
    print(quantile(ff1),na.val="Not reached")

[Package prodlim version 2018.04.18 Index]