vis_diff_subgroup: Visualize Risk (Human+AI v. Human; internal)

In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making

Visualize Risk (Human+AI v. Human; internal)

Description

Internal function to visualize the difference in risk between human+AI and human decision makers, for a subgroup defined by AI recommendation.

Usage

vis_diff_subgroup(
  df,
  label.subgroup1 = "Subgroup 1",
  label.subgroup2 = "Subgroup 2",
  x.order = NULL,
  p.title = NULL,
  p.lb = -0.2,
  p.ub = 0.2,
  y.lab = "Impact of PSA",
  p.label = c("Human correct", "PSA correct"),
  metrics = c("Misclassification Rate", "False Negative Proportion",
    "False Positive Proportion")
)

Arguments

df	A data frame generated by compute_stats_aipw and reshaped.
label.subgroup1	A label for subgroup1 (character).
label.subgroup2	A label for subgroup2 (character).
x.order	An order for the x-axis (character vector). Default NULL.
p.title	A title for the plot (character). Default NULL.
p.lb	A lower bound for the y-axis (numeric). Default -0.2.
p.ub	An upper bound for the y-axis (numeric). Default 0.2.
y.lab	A label for the y-axis (character). Default "Impact of PSA".
p.label	A vector of two labels for the annotations (character). Default c("PSA harms", "PSA helps").
metrics	A vector of metrics to include in the plot (character). Default c("Misclassification Rate", "False Negative Proportion", "False Positive Proportion").

Value

A ggplot object.

aihuman documentation built on April 12, 2025, 1:47 a.m.