PlotOptimalDecision: Plot optimal decision

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

Plot optimal decision

Description

See Figure 6 for example.

Usage

PlotOptimalDecision(res, colname.d, idx = NULL)

Arguments

res	The data frame generated from CalOptimalDecision.
colname.d	The column name of decision to be plotted.
idx	The row index of observations to be included. The default is all the observations from the data.

Value

A ggplot.

Examples

data(synth)
sample_mcmc <- AiEvalmcmc(data = synth, n.mcmc = 10)
sample_optd <- CalOptimalDecision(
  data = synth, mcmc.re = sample_mcmc,
  c0.ls = seq(0, 5, 1), c1.ls = seq(0, 5, 1),
  size = 1
) # adjust the size
sample_optd$cash <- sample_optd$d1 + sample_optd$d2 + sample_optd$d3
PlotOptimalDecision(sample_optd, "cash")

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