ggalluvial: Alluvial Plots in 'ggplot2'
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.
Version:
0.12.5
Depends:
R (≥ 3.6),
ggplot2 (≥ 2.2)
Suggests:
grid,
alluvial,
testthat,
knitr,
rmarkdown,
babynames,
sessioninfo,
ggrepel,
shiny (≥ 1.4.0.2),
htmltools,
sp (≥
1.4-0),
ggfittext (≥ 0.6),
vdiffr (≥ 0.2)
Published:
2023年02月22日
Author:
Jason Cory Brunson [aut, cre],
Quentin D. Read [aut]
Maintainer:
Jason Cory Brunson <cornelioid at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
bandle,
BulkSignalR,
DOtools,
DspikeIn,
easyalluvial,
ethnobotanyR,
fairGNN,
ggtaxplot,
henna,
iotarelr,
LorMe,
MultiRNAflow,
MutationalPatterns,
pacta.multi.loanbook,
Platypus,
projectR,
scRepertoire,
SeuratExplorer,
standR
Reverse suggests:
immunarch,
ISAnalytics,
LegATo,
longmixr,
metasnf,
MicrobiotaProcess,
MiscMetabar,
nuts,
pcutils,
plotly,
plotthis,
SCpubr,
sigminer
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