ParallelTree: Visualizing Multilevel Data

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. Has additional data management options. Parallel_Tree() uses 'ggplot2' to create a 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, which are useful for visualizing multilevel data.

Version: 0.1.3
Imports: stats, ggplot2
Published: 2019-09-17
Author: Patrick O'Keefe
Maintainer: Patrick O'Keefe <patrick.okeefe at vanderbilt.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: ParallelTree results

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Reference manual: ParallelTree.pdf
Package source: ParallelTree_0.1.3.tar.gz
Windows binaries: r-devel: ParallelTree_0.1.3.zip, r-release: ParallelTree_0.1.3.zip, r-oldrel: ParallelTree_0.1.3.zip
macOS binaries: r-release: ParallelTree_0.1.3.tgz, r-oldrel: ParallelTree_0.1.3.tgz
Old sources: ParallelTree archive

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