Free time & chunking modeling
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    • v0.1
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  1. Function reference
  2. Plot Bootstrap Results
  • Version 0.1
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  • About
  • Development notes
    • Notes
    • 2024-05-16 Meeting Notes
    • Extra primacy parameter
  • Notebooks
    • Data
      • View the data structure
      • Exploratory data analysis
      • Subject-level data
    • Model 1: Original model
      • Main results
      • Parameter identifiability
      • Sensitivity to tau
      • Experiment 3
      • Exploring model predictions
    • Model 2: Include encoding time
      • Main results
    • Model 3: Non-linear recovery
      • Explore model predictions
      • Basic fits
      • Bootstrapping data and fits for parameter uncertainty estimation
      • Extra primacy parameter
      • Linear recovery as a random variable
  • Function reference
    • Aggregate Data
    • Perform bootstrapped estimation
    • Calculate the deviance of a model
    • Get data object from a file
    • Generate a bootstrapped dataset
    • get_data function
    • Inverse Logit Transformation
    • Logit Transformation
    • Calculate the overall deviance
    • Plot Bootstrap Results
    • Plot Linear RV Recovery
    • Preprocesses the data
    • Execute an expression and save the result to a file or load the result from a file if it already exists.
    • Serial Recall Model

On this page

  • Plot Bootstrap Results
    • Description
    • Usage
    • Arguments
    • Value
    • Examples

Plot Bootstrap Results

Description

This function plots the bootstrap results for a given dataset.

Usage

plot_bootstrap_results(data)

Arguments

  • data: The dataset containing the bootstrap results.

Value

A ggplot object displaying the histogram of the bootstrap results for each parameter.

Examples

tar_load(exp1_data)
data <- replicate(10, boot_est(exp1_data), simplify = FALSE)
data <- do.call(rbind, data)
plot_bootstrap_results(data)
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Calculate the overall deviance
Plot Linear RV Recovery