kaplan: nonparametric Kaplan-Meier estimates

In ggRandomForests: Visually Exploring Random Forests

nonparametric Kaplan-Meier estimates

Description

nonparametric Kaplan-Meier estimates

Usage

kaplan(interval, censor, data, by = 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
by	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

## Not run: 
# These get run through the 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, by="treatment")

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

## End(Not run)

ggRandomForests documentation built on Sept. 1, 2022, 5:07 p.m.