Simulate the number of c-interesting panels for a lineup experiment

sim_interesting_panels(
  alphas = 10^seq(-2, 2, 0.05),
  c = m0/K,
  m0 = 19,
  K = 30,
  N_points = 10,
  avg_n_sims = 10
)

Arguments

alphas: Numeric vector of alpha values to conduct simulations for
c: The number of selections a panel must have to be interesting (can be non-integer)
m0: The number of null panels in the lineup
K: The total number of null panel selections (or, in a Rorschach lineup, the total number of evaluations)
N_points: The number of points to simulate for each value of alpha
avg_n_sims: The number of simulations to average to get a single point value. Averaging several simulations reduces the visual noise but also decreases the separation between possible values for a more continuous appearance.

Examples

sim_interesting_panels()
#> # A tibble: 810 × 3
#> # Groups:   alpha [81]
#>    alpha point_num n_interesting
#>    <dbl>     <dbl>         <dbl>
#>  1  0.01         0             1
#>  2  0.01         1             1
#>  3  0.01         2             1
#>  4  0.01         3             1
#>  5  0.01         4             1
#>  6  0.01         5             1
#>  7  0.01         6             1
#>  8  0.01         7             1
#>  9  0.01         8             1
#> 10  0.01         9             1
#> # ℹ 800 more rows