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Run Simulation

Source: R/simulations.R
run_simulation.Rd

Iterate over count_runs(), counting the number of applicable trials where such a trial is defined as having the occurrence of a streak of at least the designated length. Additionally, keep a running tally of the cumulative likelihood of obtaining exactly zero streaks.

Usage

run_simulation(
  iters,
  trials,
  sample_space,
  sample_probs = NULL,
  sample_size,
  run_value,
  run_length
)

Arguments

iters

number, number of simulation iterations.

trials

number, see count_runs().

sample_space

vector, see count_runs().

sample_probs

vector, see count_runs().

sample_size

number, see count_runs().

run_value

number, see count_runs().

run_length

number, see count_runs().

Value

data frame with

  • 4 columns: iterations, applicable_trials, prob_of_zero, & prob_of_ge_one; and

  • the number of rows to be determined by iters

Details

This function outputs a data frame with four columns: 1.) the iteration number, 2.) the count of applicable trials in that iteration, and 3.) the cumulative probability of obtaining zero streaks. 4.) the cumulative probability of obtaining at least one streak.

Examples

tail(
 run_simulation(
   iters = 100,
   trials = 8,
   sample_space = c(0, 1),
   sample_size = 5,
   run_value = 1,
   run_length = 3
 )
)
#>     iterations applicable_trials prob_of_zero prob_of_ge_one
#> 95          95                 1   0.09473684      0.9052632
#> 96          96                 3   0.09375000      0.9062500
#> 97          97                 5   0.09278351      0.9072165
#> 98          98                 4   0.09183673      0.9081633
#> 99          99                 2   0.09090909      0.9090909
#> 100        100                 3   0.09000000      0.9100000