Package: easyalluvial
Title: Generate Alluvial Plots with a Single Line of Code
Version: 0.2.2
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(>= 2.10)
Suggests: testthat, covr, ISLR, nycflights13, vdiffr (>= 0.3.1)
RoxygenNote: 7.0.0
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 , caret ,
        progress , gridExtra , randomForest , e1071
Language: en-US
NeedsCompilation: no
Packaged: 2019-12-08 22:45:14 UTC; bjoer
Author: Bjoern Koneswarakantha [aut, cre]
    (<https://orcid.org/0000-0003-4585-7799>)
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-09 10:30:05 UTC
Built: R 3.5.3; ; 2020-04-22 09:26:15 UTC; windows
