Generate example lineup identification data in standardized format. Useful for testing, demonstrations, and learning r4lineups functions.
Usage
create_example_lineup_data(
n_trials = 100,
prop_target_present = 0.5,
include_confidence = TRUE,
include_response_time = FALSE,
seed = NULL
)Arguments
- n_trials
Integer. Number of trials to generate (default = 100)
- prop_target_present
Numeric. Proportion of target-present lineups (default = 0.5)
- include_confidence
Logical. Include confidence ratings (default = TRUE)
- include_response_time
Logical. Include response times (default = FALSE)
- seed
Integer. Random seed for reproducibility (default = NULL)
Examples
# Basic example data
example_data <- create_example_lineup_data(n_trials = 200, seed = 123)
print(example_data)
#>
#> === Standardized Lineup Data ===
#>
#> Format: r4lineups standard format
#> Rows: 200
#> Columns: participant_id, target_present, identification, confidence
#>
#> Target-present trials: 97
#> Target-absent trials: 103
#>
#> Identifications:
#> filler : 62
#> reject : 64
#> suspect : 74
#>
#> Confidence range: 1 to 5
#>
#> First 10 rows:
#> participant_id target_present identification confidence
#> 1 1 FALSE reject 4
#> 2 2 TRUE reject 1
#> 3 3 FALSE filler 3
#> 4 4 TRUE suspect 4
#> 5 5 TRUE suspect 5
#> 6 6 FALSE filler 5
#> 7 7 TRUE suspect 4
#> 8 8 TRUE suspect 5
#> 9 9 TRUE suspect 5
#> 10 10 FALSE reject 1
# Use in analysis
roc <- make_roc(example_data, lineup_size = 6)
