Compare candidate solutionsDocument the decision and its evidence.
Resample membership stabilityDocument the decision and its evidence.
Validate with external evidenceDocument the decision and its evidence.

WHAT IS INSIDE

A reproducible path through the workflow.

01

Prepare clustering variables

Audit missingness, distributions, scaling, and redundancy.

02

Select and profile

Compare candidate k values and describe standardized patterns.

03

Assess stability

Use bootstrap Jaccard overlap for each reference cluster.

04

Compare and validate

Contrast methods and describe an external outcome.

SCOPE AND BOUNDARIES

Match the workflow
to the question.

Before adapting the example:

  • Run the complete synthetic workflow.
  • Use only a de-identified working copy.
  • Document assumptions and analysis decisions.
  • Review the model with the committee.

Clusters are provisional algorithmic summaries. They require substantive justification, stability assessment, and independent replication.

OUTPUT-ONLY PUBLIC PREVIEW

Explore the complete worked example.

Open full screen ↗
Cluster Analysis · 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 interpretation 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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