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easyalluvial: Generate Alluvial Plots with a Single Line of Code

Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The 'ggalluvial' package made a great job of translating that grammar into 'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.

Version: 0.3.2
Depends: R (≥ 3.5)
Imports: purrr , tidyr (≥ 1.0.0) , dplyr , forcats , ggalluvial (≥ 0.9.1) , ggplot2 (≥ 3.2.0) , ggridges , RColorBrewer , recipes (≥ 0.1.5) , rlang , stringr , magrittr , tibble , gridExtra , randomForest , progressr , progress
Suggests: testthat, covr, ISLR, nycflights13, vdiffr (≥ 0.3.1), pkgdown, mlbench, earth, workflows, future, furrr, e1071, caret, parsnip, vip, rpart, glmnet, xgboost
Published: 2023-12-07
DOI: 10.32614/CRAN.package.easyalluvial
Author: Bjoern Koneswarakantha ORCID iD [aut, cre]
Maintainer: Bjoern Koneswarakantha <datistics at gmail.com>
License: CC0
URL: https://github.com/erblast/easyalluvial/
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: easyalluvial results

Documentation:

Reference manual: easyalluvial.pdf

Downloads:

Package source: easyalluvial_0.3.2.tar.gz
Windows binaries: r-devel: easyalluvial_0.3.2.zip, r-release: easyalluvial_0.3.2.zip, r-oldrel: easyalluvial_0.3.2.zip
macOS binaries: r-release (arm64): easyalluvial_0.3.2.tgz, r-oldrel (arm64): easyalluvial_0.3.2.tgz, r-release (x86_64): easyalluvial_0.3.2.tgz, r-oldrel (x86_64): easyalluvial_0.3.2.tgz
Old sources: easyalluvial archive

Reverse dependencies:

Reverse imports: parcats

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.