PlotDIMdecisions: Plot diff-in-means estimates

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

Plot diff-in-means estimates

Description

See Figure 2 for example.

Usage

PlotDIMdecisions(
  res,
  y.max = 0.2,
  decision.labels = c("signature bond   ", "small cash bond   ", "large cash bond"),
  col.values = c("grey60", "grey30", "grey6"),
  shape.values = c(16, 17, 15)
)

Arguments

res	A data.frame generated with CalDIMsubgroup.
y.max	Maximum value of y-axis.
decision.labels	Labels of decisions (D).
col.values	Color of point for each decisions.
shape.values	Shape of point for each decisions.

Value

A ggplot.

Examples

data(synth)
subgroup_synth <- list(
  1:nrow(synth), which(synth$Sex == 0), which(synth$Sex == 1),
  which(synth$Sex == 1 & synth$White == 0), which(synth$Sex == 1 & synth$White == 1)
)
res_dec <- CalDIMsubgroup(synth, subgroup = subgroup_synth)
PlotDIMdecisions(res_dec,
  decision.labels = c("signature", "small cash", "middle cash", "large cash"),
  col.values = c("grey60", "grey30", "grey6", "grey1"),
  shape.values = c(16, 17, 15, 18)
)

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