Statistical Best Practices

What problem does it solve?

This Skill addresses the challenges of writing maintainable, efficient, and reproducible R code by enforcing a set of standardized best practices.

Core Features & Use Cases

• Code Style Enforcement: Adheres to Tidyverse style guides using styler and lintr.
• Performance Optimization: Promotes vectorization and efficient data handling with data.table.
• Project Structure: Guides organization for better reproducibility and collaboration.
• Defensive Programming: Implements input validation and robust error handling.
• Use Case: When refactoring a complex R script, apply these best practices to ensure clarity, reduce bugs, and improve execution speed.

Quick Start

Apply the best practices for R code style and vectorization to the script located at /path/to/your/analysis.R.