United States House and Senate Voting Cartogram Generators

'ProPublica' < https://projects.propublica.org/represent/> makes United States Congress member votes available and has developed their own unique cartogram to visually represent this data. Tools are provided to retrieve voting data, prepare voting data for plotting with 'ggplot2', create vote cartograms and theme them.

Improved Text Rendering Support for 'ggplot2'

A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.

Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'

Provides a backend-agnostic 'API' for creating data visualizations using 'highcharter' (interactive) or 'ggplot2' (static). Figures are defined once via a specification object and can be rendered to either backend without modifying the calling code. Supports both declarative and layered workflows, flexible theming and colour palettes, optional 'JavaScript' enhancements, and tools for exporting figures and interactive exploration via a 'shiny' app.

Freshing Up your 'ggplot2' Plots

Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.

Multiple Fill and Colour Scales in 'ggplot2'

Use multiple fill and colour scales in 'ggplot2'.

Rich Inline Text for 'grid' Graphics and 'flextable'

Renders rich inline text (bold, italic, code, links, images) in grid graphics and 'ggplot2', from markdown or 'flextable' chunks. Provides grobs, theme elements, and geometry layers for styled text rendering. Only works with graphics devices that support 'systemfonts', such as those provided by 'ragg', 'svglite', or 'ggiraph'. The 'cairo_pdf' device is also supported when fonts are installed at the system level.

An Implementation of Grammar of Graphics for Graphs and Networks

The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.

Command Line Interface Plotting

The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, boxplots, histograms, density plots, and more. The 'ggplotcli()' function is a universal converter that renders any 'ggplot2' plot in the terminal using Unicode Braille characters or ASCII. Features include support for 15+ geom types, faceting (facet_wrap/facet_grid), automatic theme detection, legends, optimized color mapping, and multiple canvas types.

Tidy Tools for Paleoenvironmental Archives

Provides a set of functions with a common framework for age-depth model management, stratigraphic visualization, and common statistical transformations. The focus of the package is stratigraphic visualization, for which 'ggplot2' components are provided to reproduce the scales, geometries, facets, and theme elements commonly used in publication-quality stratigraphic diagrams. Helpers are also provided to reproduce the exploratory statistical summaries that are frequently included on stratigraphic diagrams. See Dunnington et al. (2021) .

KMunicate-Style Kaplan–Meier Plots

Produce Kaplan–Meier plots in the style recommended following the KMunicate study by Morris et al. (2019) . The KMunicate style consists of Kaplan-Meier curves with confidence intervals to quantify uncertainty and an extended risk table (per treatment arm) depicting the number of study subjects at risk, events, and censored observations over time. The resulting plots are built using 'ggplot2' and can be further customised to a certain extent, including themes, fonts, and colour scales.