ggRandomForests (version 1.1.2)

kaplan: nonparametric kaplan-meier estimates

Description

nonparametric kaplan-meier estimates

Usage

kaplan(interval, censor, data, strat = NULL, ...)

Arguments

interval

name of the interval variable in the training dataset.

censor

name of the censoring variable in the training dataset.

data

name of the training set data.frame

strat

stratifying variable in the training dataset, defaults to NULL

...

arguments passed to the survfit function

Value

• gg_survival object

See Also

gg_survival nelson plot.gg_survival

Examples

data(pbc, package="randomForestSRC")
pbc$time <- pbc$days/364.25

# This is the same as gg_survival
gg_dta <- kaplan(interval="time", censor="status",
                     data=pbc)

plot(gg_dta, error="none")
plot(gg_dta)

# Stratified on treatment variable.
gg_dta <- gg_survival(interval="time", censor="status",
                     data=pbc, strat="treatment")

plot(gg_dta, error="none")
plot(gg_dta)