DESCRIPTION

Package: easyalluvial
Title: Generate Alluvial Plots with a Single Line of Code
Version: 0.3.2
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(>= 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: 7.2.3
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