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Plot a gg_survival object.

Usage

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

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

Value

ggplot object

Examples

## -------- 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")