Free time & chunking modeling
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    • v0.1
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  1. Function reference
  2. Aggregate Data
  • 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

  • Aggregate Data
    • Description
    • Usage
    • Arguments
    • Value
    • Examples

Aggregate Data

Description

This function aggregates the given data by grouping it based on the chunk, gap, and itemtype columns. It then calculates various summary statistics including the total count, the count of correct values, and the proportion of correct values.

Usage

aggregate_data(data)

Arguments

  • data: The input data frame.

Value

A new data frame with the aggregated data.

Examples

tar_load(exp1_data)
aggregate_data(exp1_data)
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Linear recovery as a random variable
Perform bootstrapped estimation