survminer (version 0.3.1)

ggsurvevents: Distribution of Event's Times

Description

Distribution of Event's Times

Usage

ggsurvevents(surv = NULL, fit = NULL, data = NULL, type = "fraction",
  normalized = TRUE, censored.on.top = TRUE, ggtheme = theme_survminer(),
  palette = c("grey75", "grey25"), ...)

Arguments

surv

an object of Surv. If not suplied, the censoring variable is extracted from the model.

fit

an object of class survfit.

data

a dataset for predictions. If not supplied then data will be extracted from `fit` object.

type

one of c("cumulative", "radius", "fraction"). "cumulative" stands for cumulative number of events, "radius" stands for number of events within a given radius,

normalized

if TRUE relative number of events is presented,

censored.on.top

is TRUE then censored events are on the top

ggtheme

function, ggplot2 theme name. Default value is theme_classic2. Allowed values include ggplot2 official themes: see theme.

palette

the color palette to be used for coloring of significant variables.

...

other graphical parameters to be passed to the function ggpar.

Value

return an object of class ggplot

Examples

require("survival")
# from Surv
surv <- Surv(lung$time, lung$status)
ggsurvevents(surv)

surv2 <- Surv(colon$time, colon$status)
ggsurvevents(surv2)
ggsurvevents(surv2, normalized = TRUE)

# from survfit
fit <- survfit(Surv(time, status) ~ sex, data = lung)
ggsurvevents(fit = fit, data = lung)

# from coxph
model <- coxph( Surv(time, status) ~ sex + rx + adhere, data = colon )
ggsurvevents(fit = model, data = colon)
ggsurvevents(surv2, normalized = TRUE, type = "radius")
ggsurvevents(surv2, normalized = TRUE, type = "fraction")