aer-figures

Reformat R/ggplot2 figures to meet AER submission standards.

1|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/halidaee/econtools_marketplace --skill aer-figures
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aer-figures
Source: https://github.com/halidaee/econtools_marketplace/tree/main/manuscript-tools/skills/aer-figures
Command: npx skills add https://github.com/halidaee/econtools_marketplace --skill aer-figures

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Reformatting and styling R/ggplot2 figure scripts to meet AER submission standards without altering data or results.

Core Features & Use Cases

  • Automates AER-compliant formatting of figures created in R/ggplot2
  • Applies grayscale palettes, font choices, panel labeling, and precise export settings
  • Use Case: Economists preparing manuscripts can batch-convert multiple figures to publication-ready formats

Quick Start

Run the aer-figures workflow on your ggplot2 script to produce publication-ready figures.

Frequently Asked Questions about aer-figures

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format ggplot2 figures for AER submission standards in R?

Format ggplot2 figures for AER submissions by applying grayscale palettes, specific font choices, panel labeling, and export settings. This process reformats R scripts to meet journal-ready visual standards without altering the underlying data or results.

What's the best way to convert multiple ggplot2 figures to grayscale for publication?

Convert multiple ggplot2 figures to grayscale for publication by batch-processing R scripts. The workflow applies grayscale styling and precise export settings across single and multi-panel plots, preserving original code while outputting updated scripts and saved figures.

Do I need specific R packages to apply AER-compliant figure formatting?

Yes, AER-compliant figure formatting requires R, ggplot2, ggthemes, latex2exp, and scales packages. These dependencies support grayscale styling, font choices, panel labeling, and export settings needed to produce journal-ready visuals.

Can I reformat multi-panel ggplot2 plots without losing my original code?

Yes, you can reformat multi-panel ggplot2 plots without losing original code. The workflow preserves the original script while outputting an updated version alongside saved figures, ensuring data and results remain unaltered during AER formatting.

Does applying grayscale styling to ggplot2 figures change the underlying data?

No, applying grayscale styling to ggplot2 figures does not change the underlying data or results. The formatting process strictly adjusts visual elements like palettes, fonts, and panel labeling to meet AER submission standards.