Nothing
khroma: Colour Schemes for Scientific Data Visualization
Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi:10.5194/gmd-11-2541-2018> color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
Browse package contents
Package details |
|
|---|---|
| Author | Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>, Université Bordeaux Montaigne), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Université Bordeaux Montaigne), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>, Université de Montréal), Ulrik Stervbo [ctb] (<https://orcid.org/0000-0002-2831-8868>, Ruhr-Universität Bochum), Université Bordeaux Montaigne [fnd], CNRS [fnd] |
| Maintainer | Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr> |
| License | GPL (>= 3) |
| Version | 1.14.0 |
| URL | https://packages.tesselle.org/khroma/ https://github.com/tesselle/khroma |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the khroma package in your browser
Any scripts or data that you put into this service are public.
