PlotUtilityDiffCI: Plot utility difference with 95% confidence interval
In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making

PlotUtilityDiffCI

R Documentation

Plot utility difference with 95% confidence interval

Description

See Figure S17 for example.

Usage

PlotUtilityDiffCI(res)

Arguments

res

The second data frame (res.mcmc) generated from CalUtilityDiff(include.utility.diff.mcmc = TRUE).

Value

A ggplot.

Examples


data(synth)
sample_mcmc <- AiEvalmcmc(data = synth, n.mcmc = 10)
synth_dmf <- sample(0:1, nrow(synth), replace = TRUE) # random dmf recommendation
sample_utility <- CalOptimalDecision(
  data = synth, mcmc.re = sample_mcmc,
  c0.ls = seq(0, 5, 1), c1.ls = seq(0, 5, 1),
  dmf = synth_dmf, size = 1, # adjust the size
  include.utility.diff.mcmc = TRUE
)
PlotUtilityDiffCI(sample_utility$res.mcmc)

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