ggpmisc: Extensions for Statistical Annotations in ggplot2

An R package by Pedro J. Aphalo providing extensions for the ggplot2 visualization system. It includes statistics for locating peaks and valleys, labeling plots with model equations, p-values, R^2, ANOVA tables, and annotations for multiple comparisons. The package supports model fit classes from 'broom' and 'broom.mixed' and provides scales for building volcano and quadrant plots.

Use Cases

• Annotating plots with fitted model equations and statistics based on polynomial, quantile, or robust regression features.
• Labeling data visualizations with p-values, R^2, or ANOVA tables for fitted models mentioned in the description.
• Creating volcano or quadrant plots for outcomes, fold changes, and p-values using the provided scales and stats.
• Tagging peaks and valleys in time-series or sequential data visualizations for pattern identification.

Strengths

• Package authored by a named individual, Pedro J. Aphalo, providing a point of contact.
• Description details specific statistical functionalities like peak detection, model labeling, and volcano plot construction.

Limitations

• Row count, column definitions, and sample data are unknown, limiting suitability assessment.
• License information is unknown, which may restrict usage.
• Last update date is unknown; freshness unverified.

Provenance

Source

Pedro J. Aphalo

Collection Method

Software package development for the R programming language.