plot.gg_survival {ggRandomForests} | R Documentation |
Plot a gg_survival
object.
Description
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 |
|
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
## Not run:
## -------- 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")
## End(Not run)
[Package ggRandomForests version 2.2.1 Index]