Plot Error Rate by Confidence Level — plot_error_rate

Creates a ggplot visualization showing the mistaken identification rate (from target-absent lineups) across confidence levels.

Usage

plot_error_rate_conf(ppv_range_obj, show_points = TRUE)

Arguments

ppv_range_obj: A lineup_ppv_range object from ppv_range_by_confidence(), or a dataframe with columns: confidence, error_rate
show_points: Logical. Whether to show points at each confidence level (default = TRUE)

Value

A ggplot2 object

Details

The error rate is computed from target-absent (culprit-absent) lineups as: (suspect IDs + filler IDs) / total target-absent trials

Higher confidence should generally be associated with lower error rates (better calibration).

Examples

data(lineup_example)
ppv_range <- ppv_range_by_confidence(lineup_example,
                                     confidence_bins = c(0, 60, 80, 100))
#> Target-absent lineups contain a designated innocent suspect, so innocent-suspect IDs are counted directly and no lineup-size correction is applied. The nominal, effective and uncorrected estimates are therefore identical for these data. The three diverge only when no innocent suspect is designated and the number of innocent-suspect IDs has to be estimated from the filler IDs.
plot_error_rate_conf(ppv_range)