response_simu {fullROC}

Simulate witness responses

Description

A function to simulate both CP and CA responses

Usage

response_simu(
  guilt_diff,
  inno_diff = 0,
  n_sim = 1000,
  size = 6,
  inno_suspect = FALSE,
  criterion,
  id_criterion = NULL
)

Arguments

guilt_diff

Mean difference between guilty suspect and filler distributions.

inno_diff

Mean difference between innocent suspect and filler distributions. Defaults to 0.

n_sim

Number of simulations per condition. Defaults to 1,000.

size

Number of lineup members. Defaults to 6.

inno_suspect

Whether there is a designated innocent suspect. Defaults to FALSE.

criterion

A vector of response criteria. Must have odd number of elements if id_criterion is not specified.

id_criterion

A number to define the criterion for id or rejection. Use the middle element of criterion if not specified.

Value

A data frame including both CP and CA ID responses and confidence levels.

Examples

## Set up response criteria
rc1 <- seq(-1, 3, length.out = 5)

## no designated innocent suspect
response_simu(guilt_diff = 2, criterion = rc1)

## with a designated innocent suspect
response_simu(guilt_diff = 2, inno_diff = 0.2, inno_suspect = TRUE, criterion = rc1)

## define a criterion for id/rejection instead of using the middle criterion
response_simu(guilt_diff = 2, criterion = 0:3, id_criterion = 1)