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: | 0.2.0 |
Depends: | R (≥ 2.10) |
Imports: | purrr , tidyr , dplyr , forcats , ggalluvial (≥ 0.9.1) , ggplot2 (≥ 3.1.0) , ggridges , RColorBrewer , recipes (≥ 0.1.5) , rlang , stringr , magrittr , tibble , caret , progress , gridExtra , randomForest , e1071 |
Suggests: | testthat, covr, ISLR, nycflights13, vdiffr |
Published: | 2019-04-01 |
Author: | Bjoern Koneswarakantha <https://orcid.org/ 0000-0003-4585-7799> [aut, cre] |
Maintainer: | Bjoern Koneswarakantha <datistics at gmail.com> |
License: | CC0 |
URL: | https://github.com/erblast/easyalluvial |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | easyalluvial results |
Reference manual: | easyalluvial.pdf |
Package source: | easyalluvial_0.2.0.tar.gz |
Windows binaries: | r-devel: easyalluvial_0.2.0.zip, r-release: easyalluvial_0.2.0.zip, r-oldrel: easyalluvial_0.2.0.zip |
OS X binaries: | r-release: easyalluvial_0.2.0.tgz, r-oldrel: easyalluvial_0.2.0.tgz |
Old sources: | easyalluvial archive |
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