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Add biomedical statistical tests: Wilcoxon and Mann-Whitney U tests #221
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Add biomedical statistical tests: Wilcoxon and Mann-Whitney U tests #221
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- Implement Wilcoxon Signed-Rank Test for paired samples and one-sample tests - Implement Mann-Whitney U Test for independent group comparisons - Include comprehensive biomedical examples with dummy clinical data - Add detailed documentation explaining importance for biomedical students - Cover common use cases: treatment effects, biomarker analysis, clinical trials - Provide robust error handling and statistical interpretations Features: - Blood pressure, pain score, weight loss, and cholesterol analysis examples - Drug efficacy, gender differences, disease staging, and immune response examples - Clinical interpretation guidelines and statistical theory explanations - Ready-to-use functions with medical data applications
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Pull Request Overview
Adds two non-parametric statistical test implementations in R with biomedical-focused examples and documentation.
- New Wilcoxon signed-rank test for paired/one-sample scenarios with custom print method
- New Mann-Whitney U (rank-sum) test for independent samples with custom print method and examples
- README explaining use-cases, interpretation, and example usage
Reviewed Changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 10 comments.
| File | Description |
|---|---|
| Biomedical/wilcoxon_signed_rank_test.r | Adds Wilcoxon signed-rank test implementation and extensive runnable examples |
| Biomedical/mann_whitney_u_test.r | Adds Mann-Whitney U test implementation, tie-handling attempt, and runnable examples |
| Biomedical/README.md | Adds documentation and quick start usage for the new tests |
Copilot
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Oct 17, 2025
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Per repository guidelines, please also update DIRECTORY.md to list these new algorithms in the appropriate section and ensure they are categorized consistently (e.g., statistics/mathematics).
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Please update DIRECTORY.md instead of adding this file
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Please update DIRECTORY.md instead of adding this file
🏥 Biomedical Statistical Tests for Non-parametric Analysis
This PR adds essential statistical tests commonly used in biomedical research and clinical studies.
📊 What's Added
Biomedical/wilcoxon_signed_rank_test.r) - For paired samples and one-sample testsBiomedical/mann_whitney_u_test.r) - For independent group comparisonsBiomedical/README.md) - Explaining importance for biomedical students🔬 Features
📋 Examples Include
Wilcoxon Signed-Rank Test:
Mann-Whitney U Test:
🎯 Why This Matters for Biomedical Research
Medical data often violates normal distribution assumptions due to:
These non-parametric tests are essential for:
✅ Testing & Quality
📚 Educational Value