Alluvial plots use variable-width ribbons and stacked bar plots to
represent multi-dimensional or repeated-measures data with categorical or
ordinal variables; see Riehmann, Hanfler, and Froehlich (2005)
<doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
<doi:10.1371/journal.pone.0008694>.
Alluvial plots are statistical graphics in the sense of Wilkinson (2006)
<doi:10.1007/0-387-28695-0>; they share elements with Sankey diagrams and
parallel sets plots but are uniquely determined from the data and a small
set of parameters. This package extends Wickham's (2010)
<doi:10.1198/jcgs.2009.07098> layered grammar of graphics to generate
alluvial plots from tidy data.

person(given = "Jason Cory",
family = "Brunson",
role = c("aut", "cre"),
email = "cornelioid@gmail.com")
grid, alluvial, testthat, knitr, rmarkdown, babynames,
sessioninfo, ggrepel, ggfittext (>= 0.6), vdiffr (>= 0.2)

c(
person(given = "Jason Cory",
family = "Brunson",
role = c("aut", "cre"),
email = "cornelioid@gmail.com"),
person(given = "Quentin D.",
family = "Read",
role = 'aut'))
grid, alluvial, testthat, knitr, rmarkdown, babynames,
sessioninfo, ggrepel, shiny (>= 1.4.0.2), htmltools, sp (>=
1.4-0), ggfittext (>= 0.6), vdiffr (>= 0.2)
Jason Cory Brunson [aut, cre],
Quentin D. Read [aut]

Alluvial diagrams encompass a variety of charts that use x-splines
(alluvia and flows), sometimes augmented with stacked bars (lodes or
strata), to visualize incidence structures derived from several data types,
including repeated categorical measures, evolving classifications, and
multi-dimensional categorical data. This package contains stat and geom
layers that interpret multiple data formats compatible with this framework
while hewing to the principles of tidy data and the grammar of graphics.
stats, grid, dplyr, tidyr, lazyeval, alluvial

Alluvial diagrams encompass a variety of charts that use x-splines
(alluvia and flows), sometimes augmented with stacked bars (lodes or
strata), to visualize incidence structures derived from several data types,
including categorical repeated measures data and multi-dimensional frequency
data. This package contains stat and geom layers that interpret multiple
data formats compatible with this framework while hewing to the principles
of tidy data and the grammar of graphics.
grid, alluvial, testthat, knitr, babynames