Writing reproducible statistical code involves several best practices: 1. Documentation: Comment your code thoroughly to explain each step and the rationale behind it. 2. Version Control: Use systems like Git to track changes and collaborate with others. 3. Modular Code: Break your code into functions or modules to make it easier to test and reuse. 4. Data Management: Keep raw data separate from processed data to avoid accidental modifications.
