Master S3 Plot Router for find_cutpoint — plot.find

Unified plotting dispatch network routing to clinical survival curves, predictor density distributions, hazard ratio forest charts, multi-dimensional objective surfaces, or conditional landmark stratification assets.

Usage

# S3 method for class 'find_cutpoint'
plot(
  x,
  type = c("outcome", "distribution", "forest", "surface", "trajectory", "diagnostic",
    "landmark"),
  return_data = FALSE,
  landmark = NULL,
  ...
)

Arguments

x: A find_cutpoint result object.
type: Plot framework type: "outcome", "distribution", "forest", "surface", "trajectory", "diagnostic", or "landmark".
return_data: Logical. If TRUE, exits the router early and returns the assigned underlying data frame template.
landmark: Numeric. The operational milestone timestamp used if type = "landmark".
...: Additional arguments passed down to downstream rendering pipelines.

Value

A ggplot canvas object, a multi-panel patchwork collection, or a data.frame if return_data = TRUE.

srrstats compliance

Examples

if (requireNamespace("survival", quietly = TRUE)) {
  library(survival)
  # Build clean local simulation objects with an explicit survival risk split
  set.seed(123)
  mock_df <- data.frame(
    time   = c(runif(15, 50, 100), runif(15, 5, 25)),
    event  = rep(1, 30),
    factor = c(rnorm(15, 5, 0.5), rnorm(15, 15, 0.5))
  )
  res <- find_cutpoint(
    mock_df, "factor", "time", "event",
    num_cuts = 1, method = "systematic", quiet = TRUE, nmin = 3
  )
  p <- plot(res, type = "distribution")
}