Creates advanced R plots with ggplot2 4.0+ features and theme customization.
npx skills add https://github.com/jsperger/llm-r-skills --skill ggplot2
Please help me install this Agent Skill. Skill: ggplot2 Source: https://github.com/jsperger/llm-r-skills/tree/main/skills/ggplot2 Command: npx skills add https://github.com/jsperger/llm-r-skills --skill ggplot2
ggplot2 provides a powerful, layered grammar of graphics system in R, but mastering the 4.0+ features and theme customization can be complex.
Use a minimal R snippet to create a basic plot with mpg data, apply a theme, and add a facet.
High-intent search queries and answers about installing and using this skill.
S7 property access in ggplot2 uses the @ operator for robust object property handling. This modern R approach replaces older S3/S4 methods, ensuring reliable theme and scale customization during data visualization tasks.
Customizing ggplot2 themes for publication-ready graphics involves setting theme defaults, ink/paper/accent controls, and element_geom() utilities. These features ensure consistent styling across reporting and data exploration visualizations.
Yes, element_geom() and theme_sub_* shortcuts are available in ggplot2 4.0+ for R. They simplify theme customization by providing utilities that streamline applying consistent visual styling rules.
Creating facet layouts and discrete scales in ggplot2 involves applying facet functions for multi-panel data visualization and scale functions for categorical data mapping. This supports structured reporting and exploration.
Yes, ggplot2 4.0+ supports label dictionaries for enhanced text mapping and new position aesthetics for refined plot layouts. These features improve the clarity of data visualization outputs in R.
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