aihuman (version 1.0.0)

vis_diff_subgroup: 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")
)

Value

A ggplot object.

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").