ggRandomForests (version 2.2.1)

plot.gg_survival: Plot a gg_survival object.

Description

Plot a gg_survival object.

Usage

# S3 method for gg_survival
plot(
  x,
  type = c("surv", "cum_haz", "hazard", "density", "mid_int", "life", "proplife"),
  error = c("shade", "bars", "lines", "none"),
  label = NULL,
  ...
)

Value

ggplot object

Arguments

x

gg_survival or a survival gg_rfsrc object created from a rfsrc object

type

"surv", "cum_haz", "hazard", "density", "mid_int", "life", "proplife"

error

"shade", "bars", "lines" or "none"

label

Modify the legend label when gg_survival has stratified samples

...

not used

Examples

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

# This is the same as kaplan
gg_dta <- gg_survival(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)
plot(gg_dta, label="treatment")

# ...with smaller confidence limits.
gg_dta <- gg_survival(interval="time", censor="status",
                     data=pbc, by="treatment", conf.int=.68)

plot(gg_dta, error="lines")
plot(gg_dta, label="treatment", error="lines")

# ...with smaller confidence limits.
gg_dta <- gg_survival(interval="time", censor="status",
                     data=pbc, by="sex", conf.int=.68)

plot(gg_dta, error="lines")
plot(gg_dta, label="sex", error="lines")


}