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WeightedTreemaps  

Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data
View on CRAN: Click here


Download and install WeightedTreemaps package within the R console
Install from CRAN:
install.packages("WeightedTreemaps")

Install from Github:
library("remotes")
install_github("cran/WeightedTreemaps")

Install by package version:
library("remotes")
install_version("WeightedTreemaps", "0.1.4")



Attach the package and use:
library("WeightedTreemaps")
Maintained by
Michael Jahn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-13
Latest Update: 2024-12-12
Description:
Treemaps are a visually appealing graphical representation of numerical data using a space-filling approach. A plane or 'map' is subdivided into smaller areas called cells.The cells in the map are scaled according to an underlying metric which allows to grasp the hierarchical organization and relative importance of many objects at once. This package contains two different implementations of treemaps, Voronoi treemaps and Sunburst treemaps.The Voronoi treemap function subdivides the plot area in polygonal cells according to the highest hierarchical level, then continues to subdivide those parental cells on the next lower hierarchical level, and so on. The Sunburst treemap is a computationally less demanding treemap that does not require iterative refinement, but simply generates circle sectors that are sized according to predefined weights.The Voronoi tesselation is based on functions from Paul Murrell (2012) <https://www.stat.auckland.ac.nz/~paul/Reports/VoronoiTreemap/voronoiTreeMap.html>.
How to cite:
Michael Jahn (2023). WeightedTreemaps: Generate and Plot Voronoi or Sunburst Treemaps from Hierarchical Data. R package version 0.1.4, https://cran.r-project.org/web/packages/WeightedTreemaps. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.1.1 (2023-12-13 19:00), 0.1.2 (2024-01-09 11:20), 0.1.3 (2024-11-04 23:30)
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Complete documentation for WeightedTreemaps
Functions, R codes and Examples using the WeightedTreemaps R package
Full WeightedTreemaps package functions and examples
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