Plot Kaplan-Meier Data — plot

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()
)

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().

Value

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

Examples

library(ggsurvfit)
#> Loading required package: ggplot2
fit <- survfit2(Surv(time, status) ~ surg, data = df_colon)
plot_km(fit, risktable_symbols = FALSE)