#' @title
#' Create a new Monty Hall Problem game.
#'
#' @description
#' `create_game()` generates a new game that consists of two doors
#' with goats behind them, and one with a car.
#'
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#'
#' @param ... no arguments are used by the function.
#'
#' @return The function returns a length 3 character vector
#' indicating the positions of goats and the car.
#'
#' @examples
#' create_game()
#'
#' @export
create_game <- function()
{
a.game <- sample( x=c("goat","goat","car"), size=3, replace=F )
return( a.game )
}
#' @title
#' Select a door to start
#'
#' @description
#' `select_door()` Samples a door from the created game.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param ... no arguments are used by the function.
#'
#' @return The function returns the door that was chosen in the sample to start the game.
#' @examples
#' select_door()
#' @export
select_door <- function( )
{
doors <- c(1,2,3)
a.pick <- sample( doors, size=1 )
return( a.pick ) # number between 1 and 3
}
#' @title
#' Open goat door
#'
#' @description
#' This is the door the host opens to show the player where one of the goats exists.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param 'game' is used as the game that was created and 'a.pick' is used for the first door that the player selected.
#' @return The function returns one of the doors that hasn't been selected, and has a goat behind it.
#' @examples
#' `open_goat_door( a.game, a.pick)`
#' @export
open_goat_door <- function( game, a.pick )
{
doors <- c(1,2,3)
# if contestant selected car,
# randomly select one of two goats
if( game[ a.pick ] == "car" )
{
goat.doors <- doors[ game != "car" ]
opened.door <- sample( goat.doors, size=1 )
}
if( game[ a.pick ] == "goat" )
{
opened.door <- doors[ game != "car" & doors != a.pick ]
}
return( opened.door ) # number between 1 and 3
}
#' @title
#' Change door
#'
#' @description
#' This is the door the player has switched to after seeing one of the other doors a goat was behind.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param `stay` is to choose whether the play will switches doors or keep the same door. `opened.door` is the door opened with a goat behind it. `a.pick` is the first door selected by the player.
#' @return The function returns the final decision the player has made. Either to stay with the original selection, or switch doors after seeing the first goat.
#' @examples
#' `change_door(stay=T, opened.door, a.pick)`
#' @export
change_door <- function( stay=T, opened.door, a.pick )
{
doors <- c(1,2,3)
if( stay )
{
final.pick <- a.pick
}
if( ! stay )
{
final.pick <- doors[ doors != opened.door & doors != a.pick ]
}
return( final.pick ) # number between 1 and 3
}
#' @title
#' Outcome
#'
#' @description
#' The outcome is determined by whether or not the final decision made by the player was a car or a goat. A winning outcome would be to have correctly chosen a car.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param `final.pick` is the final door that the player has selected. `game` is the game that was created at the beginning.
#' @return The function returns either a WIN or LOSE.
#' @examples
#' `determine_winner( final.pick, game)`
#' @export
determine_winner <- function( final.pick, game )
{
if( game[ final.pick ] == "car" )
{
return( "WIN" )
}
if( game[ final.pick ] == "goat" )
{
return( "LOSE" )
}
}
#' @title
#' Play the game
#'
#' @description
#' A simulation of the entire play using from creating the game, selecting the door, showing the goat, deciding to switch doors, and determining a WIN or LOSE.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param ... no arguments are used by the function.
#' @return The function returns a dataframe showing the outcome for each strategy (i.e. stay or switch doors).
#' @examples `play_game()`
#' @export
play_game <- function( )
{
new.game <- create_game()
first.pick <- select_door()
opened.door <- open_goat_door( new.game, first.pick )
final.pick.stay <- change_door( stay=T, opened.door, first.pick )
final.pick.switch <- change_door( stay=F, opened.door, first.pick )
outcome.stay <- determine_winner( final.pick.stay, new.game )
outcome.switch <- determine_winner( final.pick.switch, new.game )
strategy <- c("stay","switch")
outcome <- c(outcome.stay,outcome.switch)
game.results <- data.frame( strategy, outcome,
stringsAsFactors=F )
return( game.results )
}
#' @title
#' Run multiple games
#'
#' @description
#' Looping the game to simulate outomes at scale.
#' @details
#' The game setup replicates the game on the TV show "Let's
#' Make a Deal" where there are three doors for a contestant
#' to choose from, one of which has a car behind it and two
#' have goats. The contestant selects a door, then the host
#' opens a door to reveal a goat, and then the contestant is
#' given an opportunity to stay with their original selection
#' or switch to the other unopened door. There was a famous
#' debate about whether it was optimal to stay or switch when
#' given the option to switch, so this simulation was created
#' to test both strategies.
#' @param `n` is the number of games to be played.
#' @return The function returns a table of outcome proportions.
#' @examples `play_n_games(n=100)`
#' @export
play_n_games <- function( n=100 )
{
library( dplyr )
results.list <- list() # collector
loop.count <- 1
for( i in 1:n ) # iterator
{
game.outcome <- play_game()
results.list[[ loop.count ]] <- game.outcome
loop.count <- loop.count + 1
}
results.df <- dplyr::bind_rows( results.list )
table( results.df ) %>%
prop.table( margin=1 ) %>% # row proportions
round( 2 ) %>%
print()
return( results.df )
}
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