Package: ParallelTree 0.2.0

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.

Authors:Patrick O'Keefe [aut, cre]

ParallelTree_0.2.0.tar.gz
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manual.pdf |manual.html
card.svg |card.png
ParallelTree/json (API)

# Install 'ParallelTree' in R:
install.packages('ParallelTree', repos = c('https://okeep.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 downloads 2 exports 17 dependencies

Last updated from:8aa5bf489f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK94
source / vignettesOK159
linux-release-x86_64OK95
macos-release-arm64OK127
macos-oldrel-arm64OK101
windows-develOK75
windows-releaseOK67
windows-oldrelOK66
wasm-releaseOK91

Exports:Group_functionParallel_Tree

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Group_functionGroup_function
Parallel_TreeParallel_Tree