This code generates realistic example data for the Transparent Psi Project.
generate_example_data(
num_sim = 6000,
erotic_trial_size_per_participant = 18,
m0_prob = 0.5,
m1_prob = 0.51,
esp_user_percentage = 1,
chance_for_refuse_consent = 0.01,
chance_for_stopping_session = 0.002
)number of simulated sessions (1 regular session contains 36 trials, 18 erotic and 18 non-erotic)
number of erotic trials performed per participant
probability of successful guess if M0 is true
probability of successful guess among ESP-users in the simulated sample
the percentage of ESP-users, or ESP-capable individuals in the population
chance of refusing consent or being excluded due to one of the eligibility criteria (e.g. underage)
chance of stopping prematurely in each trial, to simulate some missing data due to unexpected events
A dataframe containing the same data structure as expected from real data collected in the study.
Set esp_user_percentage to 1 to simulate that everyone has the same level of ESP ability, or set it to 0 to simulate that no one has ESP ability. Set the value to something in between to simulate that only a portion of the population can use ESP, and the others are just guessing randomly. E.g., example esp_user_percentage = 0.03 and m1_prob = 0.65 simulates that only 3 of the total population can use ESP, and prediction success rate in this subgroup is 65 Setting chance_for_stopping_session to 0.002 would generate roughly 2 but that cannot introduce bias in our confirmatory analysis.