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Compositional data consisting of three-parts can be color mapped with a ternary color scale. Such a scale is provided by the tricolore packages with options for discrete and continuous colors, mean-centering and scaling. See Jonas Schöley (2021) "The centered ternary balance scheme. A technique to visualize surfaces of unbalanced three-part compositions" <doi:10.4054/DemRes.2021.44.19>, Jonas Schöley, Frans Willekens (2017) "Visualizing compositional data on the Lexis surface" <doi:10.4054/DemRes.2017.36.21>, and Ilya Kashnitsky, Jonas Schöley (2018) "Regional population structures at a glance" <doi:10.1016/S0140-6736(18)31194-2>.
Version: | 1.2.4 |
Depends: | R (≥ 4.0) |
Imports: | grDevices, ggplot2 (≥ 3.4.0), ggtern (≥ 3.4.0), rlang (≥ 1.1.0), shiny, assertthat |
Suggests: | testthat, knitr, rmarkdown, sf, leaflet, httpuv, dplyr |
Published: | 2024-05-15 |
DOI: | 10.32614/CRAN.package.tricolore |
Author: | Jonas Schöley |
Maintainer: | Jonas Schöley <jschoeley at gmail.com> |
License: | GPL-3 |
URL: | https://github.com/jschoeley/tricolore |
NeedsCompilation: | no |
Citation: | tricolore citation info |
Materials: | NEWS |
CRAN checks: | tricolore results |
Reference manual: | tricolore.pdf |
Vignettes: |
Choropleth maps with tricolore |
Package source: | tricolore_1.2.4.tar.gz |
Windows binaries: | r-devel: tricolore_1.2.4.zip, r-release: tricolore_1.2.4.zip, r-oldrel: tricolore_1.2.4.zip |
macOS binaries: | r-release (arm64): tricolore_1.2.4.tgz, r-oldrel (arm64): tricolore_1.2.4.tgz, r-release (x86_64): tricolore_1.2.4.tgz, r-oldrel (x86_64): tricolore_1.2.4.tgz |
Old sources: | tricolore archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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