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This vignette shows how to play bootwar using a deck built with an anonymous function rather than the standard 52 card deck.
# Load bootwar
library(bootwar)
# Set up vectors for computer and player's cards and values
comp_cv <- vector(mode = "character")
comp_vv <- vector(mode = "numeric")
plyr_cv <- vector(mode = "character")
plyr_vv <- vector(mode = "numeric")Use the deck_of_cards parameter of shuffle_deck() to define a custom deck of cards.
seed <- 123
set.seed(seed)
# Shuffle the deck
adeck <- mmcards::shuffle_deck(
deck_of_cards = function(x) {as.integer(stats::runif(52, 1, 208))},
seed = seed
)
head(adeck)
#> card value
#> 7 7 30
#> 27 27 99
#> 32 32 123
#> 38 38 147
#> 25 25 95
#> 34 34 136The rest of the workflow follows the same structure as the README.
rres <- play_round(cdeck = adeck,
plyr_cv = plyr_cv, plyr_vv = plyr_vv,
comp_cv = comp_cv, comp_vv = comp_vv)for (i in 1:4) {
rres <- play_round(cdeck = rres$updated_deck,
plyr_cv = rres$plyr_cv, plyr_vv = rres$plyr_vv,
comp_cv = rres$comp_cv, comp_vv = rres$comp_vv)
}
# Ensure 10 cards have been dealt
nrow(rres$updated_deck)
#> [1] 42gres <- analyze_game(plyr_vv = rres$plyr_vv, comp_vv = rres$comp_vv,
mode = "pt", nboot = 1000, seed = 150, conf.level = 0.05)
# Display game results
gres$winner
#> [1] "Computer Wins"
gres$bootstrap_results$effect.size
#> [1] -12.2
gres$bootstrap_results$ci.effect.size
#> 47.5% 52.5%
#> -2.4 0.6
gres$bootstrap_results$p.value
#> [1] 0.685These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.