analyze_game: Analyze Game Results and Determine Winner

In bootwar: Nonparametric Bootstrap Test with Pooled Resampling Card Game

Analyze Game Results and Determine Winner

Description

This function analyzes the results of the game using both nonparametric bootstrap with pooled resampling and classical t-tests. It then determines the winner based on the bootstrap results and effect size.

Usage

analyze_game(plyr_vv, comp_vv, mode = "t", conf.level = 0.95, ...)

Arguments

plyr_vv	A numeric vector storing the values of the cards dealt to the player.
comp_vv	A numeric vector storing the values of the cards dealt to the computer.
mode	A character string indicating the type of test. Valid options are "t" for independent t-test and "pt" for paired t-test. Default is "t".
conf.level	A confidence level for npboottprm::nonparboot, stats::t.test. The confidence level is also used to set the alpha level to alpha = 1 - conf.level
...	Additional arguments passed to the npboottprm::nonparboot function.

Value

A list containing:

• bootstrap_results: A list containing results from the bootstrap test.

• classical_results: A list containing results from the classical t-test.

• winner: A character string indicating the winner ("Player Wins", "Computer Wins", or "Draw").

Examples

# Analyze a sample game
plyr_values <- c(4, 3, 2, 1)
comp_values <- c(1, 2, 3, 4)
game_results <- analyze_game(plyr_values, comp_values, nboot = 1000,
                             mode = "t", seed = 150)

bootwar documentation built on Oct. 1, 2023, 5:07 p.m.