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ParallelTree  

Visualizing Multilevel Data with Parallel Tree Plots
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ParallelTree", "0.2.0")



Attach the package and use:
library("ParallelTree")
Maintained by
Patrick O'Keefe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-17
Latest Update: 2026-06-03
Description:
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.
How to cite:
Patrick O'Keefe (2019). ParallelTree: Visualizing Multilevel Data with Parallel Tree Plots. R package version 0.2.0, https://cran.r-project.org/web/packages/ParallelTree. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 0.1.0 (2016-04-28 00:27), 0.1.1 (2016-05-30 16:05), 0.1.2 (2016-11-22 09:06), 0.1.3 (2019-09-17 17:20)
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Complete documentation for ParallelTree
Functions, R codes and Examples using the ParallelTree R package
Full ParallelTree package functions and examples
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