Plot Landmark Stratification Curves — plot_landmark

Computes and visualises conditional survival probabilities for patients who survive up to a specified landmark milestone.

Usage

plot_landmark_stratification(x, landmark = NULL, ...)

Arguments

x: A find_cutpoint result object.
landmark: Numeric value indicating the landmark milestone. If NULL, defaults to 20% of maximum follow-up data timelines.
...: Additional arguments passed down to downstream rendering pipelines.

Value

A ggplot template or survminer survival curve asset mapping layout.

Examples

if (requireNamespace("survival", quietly = TRUE)) {
  library(survival)
  mock_df <- data.frame(
    time   = runif(25, 5, 50),
    event  = sample(c(0, 1), 25, replace = TRUE),
    factor = rnorm(25, 10, 2)
  )
  res <- find_cutpoint(
    mock_df, "factor", "time", "event",
    num_cuts = 1, method = "systematic", quiet = TRUE, nmin = 3
  )
  p <- plot_landmark_stratification(res, landmark = 10)
}
#> ℹ Generating Landmark Survival Curve for survivors remaining at time milestone: 10
#> Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
#> ℹ Please use `linewidth` instead.
#> ℹ The deprecated feature was likely used in the ggpubr package.
#>   Please report the issue at <https://github.com/kassambara/ggpubr/issues>.