plot_accuracy: Plot accuracy comparison between posterior and observed data

In eam: Evidence Accumulation Models

Plot accuracy comparison between posterior and observed data

Description

Visualizes accuracy metrics comparing posterior simulation results with observed data. Creates side-by-side bar plots for easy comparison across conditions.

Usage

plot_accuracy(
  simulated_output,
  observed_df,
  x = "item_idx",
  facet_x = c(),
  facet_y = c()
)

Arguments

simulated_output	Posterior simulation output from run_simulation()
observed_df	Observed data frame
x	Variable for x-axis (default: "item_idx")
facet_x	Variables for faceting columns
facet_y	Variables for faceting rows

Value

A ggplot2 object

Examples

# Load posterior simulation output and observed data
base_dir <- system.file("extdata", "rdm_minimal", package = "eam")
post_output <- load_simulation_output(file.path(base_dir, "abc", "posterior", "neuralnet"))
obs_df <- read.csv(file.path(base_dir, "observation", "observation_data.csv"))

# Plot accuracy comparison between posterior and observed data
# The plot shows side-by-side bars comparing hit rates or accuracy
plot_accuracy(
  post_output,
  obs_df,
  facet_x = c("group")
)

eam documentation built on March 29, 2026, 5:07 p.m.