Plotting Tool for Brain Atlases

Provides a 'ggplot2' geom and position for visualizing brain region data on cortical, subcortical, and white matter tract atlases. Brain atlas geometries are stored as polygon data, enabling seamless integration with the 'ggplot2' ecosystem including faceting, custom scales, and themes. Mowinckel & Vidal-Piñeiro (2020) .

Ridgeline Plots in 'ggplot2'

Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.

Create Standalone and Composite Plots in 'ggplot2' for Publications

Provides functions for creating and annotating a composite plot in 'ggplot2'. Offers background themes and shortcut plotting functions that produce figures that are appropriate for the format of scientific journals. Some methods are described in Min and Zhou (2021) .

Dedicated 'ggplot2' Methods for 'fixest' Objects

Provides 'ggplot2' equivalents of fixest::coefplot() and fixest::iplot(), for producing nice coefficient plots and interaction plots. Enables some additional functionality and convenience features, including grouped multi-'fixest' object faceting and programmatic updates to existing plots (e.g., themes and aesthetics).

Liquid Glass Design Themes for 'shiny' Applications

Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted, optional persistence of the look, named wallpaper scenes, and helpers to match 'ggplot2', 'plotly', and 'gt' output to the glass pack.

Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Provides plotting utilities supporting packages in the 'easystats' ecosystem (< https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on < https://materialui.co/>. References: Lüdecke et al. (2021) .

Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping

Provides 'ggplot2' extensions for political map making. Implements new geometries for groups of simple feature geometries. Adds palettes and scales for red to blue color mapping and for discrete maps. Implements tools for easy label generation and placement, automatic map coloring, and themes.

EKIO Visual Identity for 'ggplot2'

Implements EKIO's visual identity for data visualization with 'ggplot2'. Supplies a coordinated theme, color palettes, discrete and continuous scales, and helpers for accessible text contrast. Includes high-level recipes for common charts so analysts can create consistent, publication-ready graphics with concise code.

Colorblind-Friendly Color Maps for R

Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at < https://cran.r-project.org/package=viridisLite>.

A Natural Language Interface to 'ggplot2'

The 'ggplot2' package is the state-of-the-art toolbox for creating and formatting graphs. However, it is easy to forget how certain formatting commands are named and sometimes users find themselves asking: How do you rotate the x-axis labels again? Or how do you hide the legend...? This package allows users to issue natural language commands related to theme-related styling of plots (colors, font size and such), which then are translated into valid 'ggplot2' commands.