Verify the keysMake the data structure visible.
Preserve values and typesRecord checks and uncertainty.
Visualize repeated observationsConnect output to interpretation.

WHAT IS INSIDE

A reproducible path through the workflow.

01

Audit the wide file

Check IDs, missingness, ranges, repeated-variable names, and scheduled waves.

02

Reshape wide to long

Use a naming pattern that preserves each construct and extracts its wave.

03

Verify the round trip

Compare keys, values, storage classes, and missingness after returning to wide format.

04

Describe and visualize

Create wave- and person-level summaries, missingness maps, trajectories, and associations.

SCOPE AND BOUNDARIES

Match the workflow
to the question.

Before adapting the example:

  • Define the unit, repeated-measure schedule, and time origin.
  • Run the complete synthetic example.
  • Use only a de-identified working copy of real data.
  • Review model or transformation assumptions with the committee.

This is a data-management and descriptive workflow. Fitted longitudinal models and missing-data models are separate analyses.

OUTPUT-ONLY PUBLIC PREVIEW

Explore the complete worked example.

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Repeated-Measures Data Reshaping and Visualization · Dissertation Stats Helper

The preview shows results, figures, and guidance. The paid version includes all editable source and reusable code. Source code and session information are omitted.

YOUR DIGITAL DOWNLOAD

Run the example.
Make it your own.

  • Complete editable R Markdown source
  • Synthetic data and reproducible generator
  • Worked HTML report and reusable exports
  • Dynamic reporting and diagnostic guidance
  • Setup, generation, version, and license documentation

VERSION 1.0.0

Complete workflow.
$59 one time.

Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.

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