easysurv (version 2.0.1)

plot_km: Plot Kaplan-Meier Data

Description

Generates a Kaplan-Meier survival curve plot using ggsurvfit::ggsurvfit() with customizable options. This function provides sensible defaults while allowing for customization.

Usage

plot_km(
  fit,
  risktable = TRUE,
  risktable_symbols = TRUE,
  median_line = TRUE,
  legend_position = "top",
  plot_theme = theme_easysurv(),
  risktable_theme = theme_risktable_easysurv()
)

Value

A ggplot object representing the Kaplan-Meier survival curve plot.

Arguments

fit

A survival::survfit object representing the survival data.

risktable

Logical value indicating whether to include a risk table below the plot. Default is TRUE.

risktable_symbols

Logical value indicating whether to include symbols instead of text to label risk table strata. Default is TRUE.

median_line

Logical value indicating whether to include a line representing the median survival time. Default is TRUE.

legend_position

Position of the legend in the plot. Default is "top".

plot_theme

ggplot2 theme for the plot. Default is theme_easysurv().

risktable_theme

ggplot2 theme for the risk table. Default is theme_risktable_easysurv().

Examples

library(ggsurvfit)
fit <- survfit2(Surv(time, status) ~ surg, data = df_colon)
plot_km(fit, risktable_symbols = FALSE)