View source: R/plot.gg_survival.R
plot.gg_survival | R Documentation |
gg_survival
object.Plot a gg_survival
object.
## 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, ... )
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 |
ggplot
object
## 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)
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