light-result-analysis
CommunityDeep-dive analysis for experiments and results.
AuthorLight0305
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured framework to analyze experimental results, turning raw metrics into rigorous, publication-ready conclusions.
Core Features & Use Cases
- Automated per-metric descriptive analytics with 95% confidence intervals and normality checks.
- Omnibus and post-hoc tests with effect sizes and BH-FDR correction, plus optional paired tests.
- Publication-ready reports and visualizations, leakage screening, and a reproducible analysis pipeline.
- Use Case: after completing experiments, automatically generate a complete, citable analysis package for manuscripts.
Quick Start
Run the end-to-end analysis pipeline on a results.csv to produce a summary and a publication-ready report.
Dependency Matrix
Required Modules
numpypandasscipystatsmodelsshap
Components
scriptsassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: light-result-analysis Download link: https://github.com/Light0305/Light-skills/archive/main.zip#light-result-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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