power-analysis-calculator

Solid

Skill for statistical power analysis and sample size calculation

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
44
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Power Analysis Calculator Skill ## Purpose Calculate statistical power and required sample sizes for experimental designs to ensure adequate study power. ## Capabilities - Calculate required sample size - Compute statistical power - Estimate effect sizes - Handle multiple comparisons - Support various designs - Generate power curves ## Usage Guidelines 1. Specify design type 2. Define effect size 3. Set alpha and power 4. Calculate sample size 5. Generate power curves 6. Document analysis ## Process Integration Works within scientific discovery workflows for: - Study planning - Grant proposals - Protocol development - Design optimization ## Configuration - Statistical test selection - Effect size specifications - Power thresholds - Output formatting ## Output Artifacts - Sample size calculations - Power analyses - Effect size estimates - Power curves

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills