make_game: Play with a Discrete Random Variable

In tigerstats: R Functions for Elementary Statistics

Description

Makes a function that simulates a game based where your winnings are the sum of a specified number of plays of a discrete random variable with a specified distribution.

Usage

make_game(outcomes, probs, plays)

Arguments

outcomes	numerical vector of possible values of the random variable
probs	numerical vector giving the probability distribution
plays	number of times the random variable is simulated

Value

a function of a single parameter n, with default value 1. n is the number of times you simulate the net winnings.

Author(s)

Homer White [e-mail]

Examples

## Not run: 
play_game <- make_gmae(
  outcomes = c(-1, 0, 5)
  probs = c(0.4, 0.5, 0.1)
  plays = 2000
)
## Play "plays" times, get net winnings:
sampler()
## Play "plays" times again:
sampler()
## Play "plays" times, a third time:
sampler()
## 1000 more simulations of the net winnings:
sampler(n = 1000)

## End(Not run)

tigerstats documentation built on July 2, 2020, 2:32 a.m.