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prefviz: Visualizes Preference Data via Ternary Plots in Two and Higher Dimensions
Visualises preference and ranking data by extending traditional ternary plots to support high-dimensional simplexes. The package provides methods to transform compositional data into coordinates suitable for 2D and high-dimensional ternary plots (see Cook & Laa (2024) <https://dicook.github.io/mulgar_book/>). Compatibility with interactive visualization packages such as 'plotly' or 'detourr' allows users to explore high-dimensional preference structures dynamically.
Package details |
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| Author | Linh Ngo [aut, cre], Dianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>), Damjan Vukcevic [aut] (ORCID: <https://orcid.org/0000-0001-7780-9586>) |
| Maintainer | Linh Ngo <linhngo66.work@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| URL | https://numbats.github.io/prefviz/ |
| Package repository | View on CRAN |
| Installation |
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