ggsurvplot_add_all: Add Survival Curves of Pooled Patients onto the Main Plot

In kassambara/survminer: Drawing Survival Curves using 'ggplot2'

Add Survival Curves of Pooled Patients onto the Main Plot

Description

Add survival curves of pooled patients onto the main plot stratified by grouping variables.

Usage

ggsurvplot_add_all(
  fit,
  data,
  legend.title = "Strata",
  legend.labs = NULL,
  pval = FALSE,
  ...
)

Arguments

fit	an object of class survfit.
data	a dataset used to fit survival curves. If not supplied then data will be extracted from 'fit' object.
legend.title	legend title.
legend.labs	character vector specifying legend labels. Used to replace the names of the strata from the fit. Should be given in the same order as those strata.
pval	logical value, a numeric or a string. If logical and TRUE, the p-value is added on the plot. If numeric, than the computet p-value is substituted with the one passed with this parameter. If character, then the customized string appears on the plot. See examples - Example 3.
...	other arguments passed to the ggsurvplot() function.

Value

Return a ggsurvplot.

See Also

ggsurvplot

Examples

library(survival)

# Fit survival curves
fit <- surv_fit(Surv(time, status) ~ sex, data = lung)

# Visualize survival curves
ggsurvplot(fit, data = lung,
          risk.table = TRUE, pval = TRUE,
          surv.median.line = "hv", palette = "jco")

# Add survival curves of pooled patients (Null model)
# Use add.all = TRUE option
ggsurvplot(fit, data = lung,
          risk.table = TRUE, pval = TRUE,
          surv.median.line = "hv", palette = "jco",
          add.all = TRUE)

kassambara/survminer documentation built on Feb. 15, 2023, 4:11 a.m.