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r-guide

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R language best practices for AI.

Data & Analytics#best practices#data analysis#r#reproducibility#tidyverse#r markdown
Authorar4mirez
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive set of guardrails, patterns, and best practices for developing R code, ensuring consistency, reproducibility, and efficiency in AI-assisted R development.

Core Features & Use Cases

  • Coding Standards: Enforces Tidyverse conventions, vectorization, and functional programming principles.
  • Reproducibility: Guides on dependency management with renv and literate programming with R Markdown/Quarto.
  • Error Handling & Testing: Promotes robust error handling and effective testing strategies using testthat.
  • Use Case: When working on a data analysis project in R, this Skill will ensure your code adheres to project-specific standards, making it easier for collaborators and AI assistants to understand and maintain.

Quick Start

Apply the R language guardrails and best practices to your current R project.

Dependency Matrix

Required Modules

None required

Components

references

💻 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: r-guide
Download link: https://github.com/ar4mirez/samuel/archive/main.zip#r-guide

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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