eam (version 1.0.1)

plot_rt: Plot reaction time distributions

Description

Visualize reaction time distributions from your model predictions. Overlay observed experimental data for reference.

Usage

plot_rt(simulated_output, observed_df, facet_x = c("item_idx"), facet_y = c())

Value

A plot showing predicted RT distributions (blue), with observed data (red) if provided

Arguments

simulated_output

Output from run_simulation containing posterior predictions

observed_df

Your observed data as a data frame

facet_x

Variables to split plots horizontally. Default is "item_idx" to show separate plots for each item

facet_y

Variables to split plots vertically. Default is none (c())

Examples

# Load example posterior simulation output
post_output_path <- system.file(
  "extdata", "rdm_minimal", "abc", "posterior", "neuralnet",
  package = "eam"
)
post_output <- load_simulation_output(post_output_path)

# Load example observed data
obs_file <- system.file(
  "extdata", "rdm_minimal", "observation", "observation_data.csv",
  package = "eam"
)
obs_df <- read.csv(obs_file)

# Plot RT distributions by item
plot_rt(post_output, obs_df, facet_x = c("item_idx"))

# Plot RT distributions by item and group
plot_rt(
  post_output,
  obs_df,
  facet_x = c("item_idx"),
  facet_y = c("group")
)