PlotStackedBar: Stacked barplot for the distribution of the decision given...

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

Stacked barplot for the distribution of the decision given psa

Description

See Figure 1 for example.

Usage

PlotStackedBar(
  data,
  fta.label = "FTAScore",
  nca.label = "NCAScore",
  nvca.label = "NVCAFlag",
  d.colors = c("grey60", "grey30", "grey10"),
  d.labels = c("signature bond", "small cash bond", "large cash bond"),
  legend.position = "none"
)

Arguments

data	A data.frame of which columns includes an ordinal decision (D), and psa variables (fta, nca, and nvca).
fta.label	Column name of fta score in the data. The default is "FTAScore".
nca.label	Column name of nca score in the data. The default is "NCAScore".
nvca.label	Column name of nvca score in the data. The default is "NVCAFlag".
d.colors	The color of each decision.
d.labels	The label of each decision.
legend.position	The position of legend. The default is "none".

Value

A list of three ggplots.

Examples

data(psa_synth)
# Control group (PSA not provided)
PlotStackedBar(psa_synth[psa_synth$Z == 0, ], d.colors = c(
  "grey80", "grey60",
  "grey30", "grey10"
), d.labels = c(
  "signature", "small",
  "middle", "large"
))
# Treated group (PSA provided)
PlotStackedBar(psa_synth[psa_synth$Z == 0, ], d.colors = c(
  "grey80", "grey60",
  "grey30", "grey10"
), d.labels = c(
  "signature", "small",
  "middle", "large"
))

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