A 'Bootstrap 4' Version of 'shinydashboard'

Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' < https://github.com/ColorlibHQ/AdminLTE>.

Interpreted String Literals

An implementation of interpreted string literals, inspired by Python's Literal String Interpolation < https://www.python.org/dev/peps/pep-0498/> and Docstrings < https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals < https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.

Geometries to Plot Networks with 'ggplot2'

Geometries to plot network objects with 'ggplot2'.

Curved Text in 'ggplot2'

A 'ggplot2' extension that allows text to follow curved paths. Curved text makes it easier to directly label paths or neatly annotate in polar co-ordinates.

A Toolbox for Manipulating and Assessing Colors and Palettes

Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at < https://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, ).

Spatial Visualization with ggplot2

A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.

Miscellaneous Functions for 'ggplot2'

Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).

Quantile-Quantile Plot Extensions for 'ggplot2'

Extensions of 'ggplot2' Q-Q plot functionalities.

Grammar Extensions to 'ggplot2'

Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots using native data coordinates, while geom_table_npc(), geom_plot_npc() and geom_grob_npc() do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: select observations based on 2D density. Positions: radial nudging away from a center point and nudging away from a line or curve; combined stacking and nudging; combined dodging and nudging.

Rasterize Layers for 'ggplot2'

Rasterize only specific layers of a 'ggplot2' plot while simultaneously keeping all labels and text in vector format. This allows users to keep plots within the reasonable size limit without loosing vector properties of the scale-sensitive information.