Package: tricolore 1.2.4

tricolore: A Flexible Color Scale for Ternary Compositions

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>.

Authors:Jonas Schöley [aut, cre], Ilya Kashnitsky [aut]

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tricolore.pdf |tricolore.html
tricolore/json (API)
NEWS

# Install 'tricolore' in R:
install.packages('tricolore', repos = c('https://jschoeley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jschoeley/tricolore/issues

Datasets:

On CRAN:

7.11 score 150 stars 85 scripts 566 downloads 1 mentions 3 exports 66 dependencies

Last updated 9 months agofrom:c4f25b8a52. Checks:4 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 10 2025
R-4.5-winOKFeb 10 2025
R-4.5-macOKFeb 10 2025
R-4.5-linuxOKFeb 10 2025
R-4.4-winNOTEFeb 10 2025
R-4.4-macNOTEFeb 10 2025
R-4.3-winNOTEFeb 10 2025
R-4.3-macNOTEFeb 10 2025

Exports:DemoTricoloreTricoloreTricoloreSextant

Dependencies:assertthatbase64encbayesmbslibcachemclicolorspacecommonmarkcompositionscrayonDEoptimRdigestfansifarverfastmapfontawesomefsggplot2ggterngluegridExtragtablehexbinhtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatex2explatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesprotoR6rappdirsRColorBrewerRcppRcppArmadillorlangrobustbasesassscalesshinysourcetoolsstringistringrtensorAtibbleutf8vctrsviridisLitewithrxtable

Choropleth maps with tricolore

Rendered fromchoropleth_maps_with_tricolore.Rmdusingknitr::rmarkdownon Feb 10 2025.

Last update: 2024-05-14
Started: 2018-08-30