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: not available, r-release: not available, r-oldrel: not available
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

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