mhsim: Complete a simulation run of the Monty Hall Problem

In metamaden/montyhall: Simulate and analyze the Monty Hall Problem.

Description

Run simulations of the Monty Hall problem. Default settings are canonical/classic game parameters, with arguments to change various parameters.

Usage

mhsim(
  niter = 100,
  seed = 1,
  ndoors = 3,
  ndec1 = 1,
  ndec2 = 1,
  nprizes = 1,
  nrevealdif = 1,
  prize.index = NULL,
  selectdec1 = "random",
  doorswitch = 1,
  montyselect = "random",
  verbose.results = FALSE
)

Arguments

niter	Number of simulation iterations or games.
seed	Seed integer to set in 'set.seed()'.
ndoors	Total quantity of doors for game simulations.
ndec1	Door index to *always* choose in decision 1.
ndec2	Door index to *always* choose in decision 2.
nprizes	Total number of prizes for game simulations.
nrevealdif	Number of doors Monty does not reveal between player decisions 1 and 2.
prize.index	Door index for prize location in each game.
selectdec1	Either "random" or a door index to choose for decision 1.
doorswitch	Some number between 0-100 (percent chance to switch). Defaults to 1 (100 percent).
montyselect	Set indices of doors Monty reveals. Defaults to "random".
verbose.results	Whether to return iteration/game details alongside results.

Value

A vector of game results, with simulation details if verbose.results = TRUE.

metamaden/montyhall documentation built on April 4, 2020, 9:39 p.m.