ggcuminc: Plot Cumulative Incidence

In ggsurvfit: Flexible Time-to-Event Figures

Plot Cumulative Incidence

Description

Plot a cumulative incidence object created with tidycmprsk::cuminc() or a multi-state object created with survfit2(). Read more on multi-state models here.

Usage

ggcuminc(
  x,
  outcome = NULL,
  linetype_aes = FALSE,
  theme = theme_ggsurvfit_default(),
  ...
)

Arguments

x	a 'survfit' object created with survfit2()
outcome	string indicating which outcome(s) to include in plot. Default is to include the first competing event.
linetype_aes	logical indicating whether to add ggplot2::aes(linetype = strata) to the ggplot2::geom_step() call. When strata are present, the resulting figure will be a mix a various line types for each stratum.
theme	a survfit theme. Default is theme_ggsurvfit_default()
...	arguments passed to ggplot2::geom_step(...), e.g. size = 2

Value

a ggplot2 figure

Details

Why do we not use cmprsk::cuminc()?

The implementation of cmprsk::cuminc() does not provide the data required to construct the risk table. Moreover, the tidycmprsk::cuminc() has a user-friendly interface making it easy to learn and use.

See Also

Visit the gallery for examples modifying the default figures

Examples

library(tidycmprsk)

cuminc(Surv(ttdeath, death_cr) ~ trt, trial) %>%
  ggcuminc(outcome = "death from cancer") +
  add_confidence_interval() +
  add_risktable() +
  scale_ggsurvfit()

cuminc(Surv(ttdeath, death_cr) ~ trt, trial) %>%
  ggcuminc(outcome = c("death from cancer", "death other causes")) +
  add_risktable() +
  scale_ggsurvfit()

# using the survival multi-state model
survfit2(Surv(ttdeath, death_cr) ~ trt, trial) %>%
  ggcuminc(outcome = "death from cancer") +
  add_confidence_interval() +
  add_risktable() +
  scale_ggsurvfit()

ggsurvfit documentation built on Nov. 2, 2023, 5:33 p.m.