Title

Code for statistical analyses and figure generation

Overview

This repository contains the Jupyter Notebook used for statistical analyses and figure generation for the manuscript:

"[Manuscript title]"

Repository structure

• README.md: repository overview and usage instructions.
• requirements.txt: Python packages required to run the notebook.
• LICENSE: MIT License for this repository.
• .gitignore: excludes temporary files and raw data files from version control by default.
• notebooks/: contains the analysis notebook used for the manuscript.
• data/: reserved for input data files; data are not included unless otherwise specified.

The notebook creates an output/ folder during execution for generated figures and result tables.

Requirements

• Python 3.x
• Jupyter Notebook or JupyterLab
• matplotlib
• numpy
• pandas
• statsmodels

How to run

1. Clone or download this repository.
2. Install required packages:

pip install -r requirements.txt

3. Open the notebook: notebooks/Supplement 4_code_sharing.ipynb
4. Run cells sequentially.

Data availability

The analysis dataset is not included in this repository unless otherwise specified. The dataset required to interpret and verify the findings will be deposited in a public repository upon acceptance of the manuscript. Full-text journal articles and protocols are not shared because they are third-party copyrighted materials.

Notes

The notebook was used for statistical analyses and figure generation. File paths may need to be adjusted according to the local working directory.