Port variant standard
Summary Colors and Palettes manipulation toolbox
Package version 2.0.3
Homepage https://colorspace.R-Forge.R-project.org/
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
Ravenports Buildsheet | History
Ravensource Port Directory | History
Last modified 22 FEB 2022, 02:10:24 UTC
Port created 14 APR 2020, 06:14:40 UTC
Subpackage Descriptions
single colorspace: 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, <doi:10.18637/jss.v096.i01>).
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:single:ravensys
Runtime (only) R:complete:standard
Download groups
main mirror://CRAN/src/contrib
Distribution File Information
e75681cc4dd6e4b70303fd96a6d4597065dc6bffcaa4ae4244b73ff19016857f 2199185 CRAN/colorspace_2.0-3.tar.gz
Ports that require R-colorspace:standard
R-forecast:standard Forecasting for time series and linear models
R-munsell:standard Utilities for Using Munsell Colours
R-vcd:standard Visualizing Categorical Data