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ParallelTree: Visualizing Multilevel Data with Parallel Tree Plots

Provides two functions: Group_function() and Parallel_Tree(). Group_function() applies a given function (e.g., mean()) to input variable(s) by group across levels of a multilevel data structure, with additional data management options. Parallel_Tree() uses 'ggplot2' to create parallel coordinate plots (technically a facsimile of parallel coordinate plots in a Cartesian coordinate system). Used in combination, these functions can create parallel tree plots, a variant of parallel coordinate plots useful for visualizing multilevel data.

Version: 0.2.0
Imports: stats, ggplot2
Published: 2026-06-03
DOI: 10.32614/CRAN.package.ParallelTree
Author: Patrick O'Keefe [aut, cre]
Maintainer: Patrick O'Keefe <pgok15 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ParallelTree results

Documentation:

Reference manual: ParallelTree.html , ParallelTree.pdf

Downloads:

Package source: ParallelTree_0.2.0.tar.gz
Windows binaries: r-devel: ParallelTree_0.2.0.zip, r-release: ParallelTree_0.2.0.zip, r-oldrel: ParallelTree_0.2.0.zip
macOS binaries: r-release (arm64): ParallelTree_0.2.0.tgz, r-oldrel (arm64): ParallelTree_0.2.0.tgz, r-release (x86_64): ParallelTree_0.2.0.tgz, r-oldrel (x86_64): ParallelTree_0.2.0.tgz
Old sources: ParallelTree archive

Linking:

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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.