Plot Monte Carlo Simulation results.

Displays the simulated total distribution as a histogram, optionally overlaid with the moment-matched normal density, and marks the P50 and P95 percentiles.

Usage

# S3 method for class 'mcs'
plot(
  x,
  main = NULL,
  col = NULL,
  breaks = 50,
  normal_fit = TRUE,
  xlab = NULL,
  ...
)

Arguments

x

An object of class "mcs".

main

Optional plot title. If NULL, a default title is generated.

col

Fill color for the histogram bars. If NULL, uses the package palette.

breaks

Number of histogram breaks, passed to graphics::hist().

normal_fit

Logical. Overlay the normal density implied by the simulated mean and standard deviation. Skipped automatically when the standard deviation is zero or non-finite.

xlab

Optional x-axis label.

...

Additional arguments passed to graphics::hist().

Value

Invisibly returns x.

Examples

task_dists <- list(
  list(type = "normal", mean = 10, sd = 2),
  list(type = "uniform", min = 8, max = 12)
)
plot(mcs(1000, task_dists))