r-parallel
CommunitySpeed up R workflows with safe, reproducible parallelization.
Data & Analytics#data-analysis#r#reproducibility#parallelize#parallel-processing#future#seed-handling
Authorhalidaee
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Sequential R code and loops can be slow; this Skill converts eligible patterns to parallel counterparts using the future ecosystem, preserving results and enabling cross-platform backends.
Core Features & Use Cases
- Automated parallelization guidance for for-loops and apply-family patterns to speed up data analysis workflows in R.
- Deterministic RNG handling with seed propagation across workers using L'Ecuyer-CMRG to ensure reproducible results.
- Workflow hygiene & safety including archiving originals, verification tests, and staged commits to prevent data loss.
Quick Start
Provide a small, reproducible example of a sequential R loop and rewrite it to use future_lapply with proper seeds and a multisession plan.
Dependency Matrix
Required Modules
None requiredComponents
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-parallel Download link: https://github.com/halidaee/econtools_marketplace/archive/main.zip#r-parallel Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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