Package: easyalluvial
Title: Generate Alluvial Plots with a Single Line of Code
Version: 0.3.1
Authors@R: person( "Bjoern", "Koneswarakantha", role = c("aut","cre"), email = "datistics@gmail.com", comment = c(ORCID = "0000-0003-4585-7799") )
URL: https://github.com/erblast/easyalluvial/
Description: 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.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5)
Suggests: testthat, covr, ISLR, nycflights13, vdiffr (>= 0.3.1),
pkgdown, mlbench, earth, workflows, future, furrr, e1071,
caret, parsnip, vip, rpart, glmnet, xgboost
RoxygenNote: 7.2.0
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
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-05 06:01:51 UTC; koneswab
Author: Bjoern Koneswarakantha [aut, cre]
(<https://orcid.org/0000-0003-4585-7799>)
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-05 07:30:08 UTC