Plot Information Gain by Response Category

Creates a ggplot2 visualization showing information gain for each response category in an EIG analysis.

Usage

plot_eig(eig_obj, max_responses = 15, color_by = "identification")

Arguments

eig_obj

A lineup_eig object from compute_eig()

max_responses

Maximum number of response categories to display (default = 15). Categories are sorted by information gain (highest first).

color_by

Character. Color bars by "identification" decision or "ig" (information gain). Default = "identification".

Value

A ggplot2 object

Details

This function creates a bar plot showing information gain for each response category. Response categories are ordered by IG (descending), with the most informative responses shown first. Colors distinguish different identification decisions (suspect/filler/reject).

Examples

data(lineup_example)
eig_result <- compute_eig(lineup_example, confidence_bins = c(0, 60, 80, 100))
plot_eig(eig_result)