R: Distribution of Events' Times

ggsurvevents {survminer} | R Documentation

## Distribution of Events' Times

### Description

Distribution of Events' 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. 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

### Author(s)

Przemyslaw Biecek, przemyslaw.biecek@gmail.com

### 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")

[Package survminer version 0.4.1 Index]