ggalluvial: Alluvial Plots in 'ggplot2' (original) (raw)
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) |
| Imports: | stats, dplyr (≥ 0.7), tidyr (≥ 0.7), lazyeval, rlang, tidyselect |
| 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: | 2023-02-22 |
| DOI: | 10.32614/CRAN.package.ggalluvial |
| Author: | Jason Cory Brunson [aut, cre], Quentin D. Read [aut] |
| Maintainer: | Jason Cory Brunson |
| BugReports: | https://github.com/corybrunson/ggalluvial/issues |
| License: | GPL-3 |
| URL: | http://corybrunson.github.io/ggalluvial/ |
| NeedsCompilation: | no |
| Citation: | ggalluvial citation info |
| Materials: | README, NEWS |
| CRAN checks: | ggalluvial results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | multiWGCNA |
|---|---|
| Reverse imports: | bandle, BulkSignalR, DOtools, DspikeIn, easyalluvial, ethnobotanyR, fairGATE, 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 |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=ggalluvialto link to this page.