This function applies the PrepareData() preprocessing step to each imputed dataset in a mids object
and returns a new mids object with the transformed data. It is designed for use in within-subject mediation analysis
pipelines when working with multiply imputed data.
TransformMidsWithPrepareData(mids_obj, M_C1, M_C2, Y_C1, Y_C2)A new mids object where each imputed dataset has been processed using PrepareData().
A mids object created by the mice package, containing multiply imputed datasets.
A character vector specifying the names of mediator variables under Condition 1 (e.g., pre-test).
A character vector specifying the names of mediator variables under Condition 2 (e.g., post-test).
A character string specifying the outcome variable under Condition 1.
A character string specifying the outcome variable under Condition 2.
The function performs the following steps:
Extracts all imputed datasets from the original mids object.
Applies PrepareData() to each imputed dataset using the specified within-subject mediator and outcome variables.
Combines all processed datasets into a long format and reconstructs a new mids object via mice::as.mids().
This enables subsequent analyses to operate on a version of the multiply imputed data where difference scores and averages have already been computed.