process_replication_study {mmibain}

Process Replication Study Data

Description

This function processes the data from a replication study by comparing it with the results from an original study, using the bain package for Bayesian inference.

Usage

process_replication_study(replication_data, original_study_results)

Arguments

replication_data

A data frame containing the replication study data, with columns ColLabs for labels and ColVals for values.

original_study_results

A list containing the results of an original study, including the hypothesis and pairwise t-test results, if applicable.

Details

The function begins by extracting the original hypothesis (Horiginal) from the original_study_results. It then generates the null hypothesis (Ho) using the generate_Ho_from_pairwise_t function.

A hypothesis string for the Bayesian analysis is prepared by comparing Ho and Horiginal. If they are the same, only Horiginal is used; otherwise, both are included in the Bayesian analysis via bain.

An ANOVA model is fitted to the replication data, which is then passed to the bain function along with the hypothesis string. The Bayesian analysis results are returned along with any message regarding the comparison of hypotheses.

Value

A list containing the results from the Bayesian analysis (bain_results) and a message indicating if the null hypothesis and the original hypothesis were the same (message).

Examples

replication_results <- process_replication_study(
  replication_data = generate_study_data(
    x = deal_cards_to_rc_grid(n = 3),
    sample_size = 30
  ),
  original_study_results = process_original_study(
    df = generate_study_data(
      x = deal_cards_to_rc_grid(n = 3),
      sample_size = 30
    ),
    alpha = 0.05
  )
)