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forest-plot-creation

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Create and interpret forest plots quickly.

Data & Analytics#r#meta-analysis#data-visualization#statistical-analysis#metafor#forest-plot
Authormatheus-rech
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Forest plots are essential for visualizing meta-analysis results, showing study effects, weights, and confidence intervals at a glance. This skill provides clear guidance on constructing and understanding these plots to facilitate interpretation and communication of meta-analytic findings.

Core Features & Use Cases

  • Visualization: Generate forest plots representing individual study effects, weights, and CIs.
  • Interpretation Guidance: Explain how to read the plot, identify the line of no effect, and assess heterogeneity visually.
  • Customization: Support subgroups, subgroup labels, and model-type notes for transparent reporting.
  • Use Case: A researcher wants to present a random-effects meta-analysis of several RCTs in a manuscript figure.

Quick Start

Provide a dataset containing yi and sei values to generate a forest plot.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: forest-plot-creation
Download link: https://github.com/matheus-rech/meta-agent-mobile/archive/main.zip#forest-plot-creation

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