Provides an interface for the "nVenn"" algorithm (Perez-Silva, Araujo-Voces and Quesada (2018), <doi:10.1093/bioinformatics/bty109>). This algorithm works for any number of sets, and usually yields pleasing and informative Venn diagrams with proportionality information. However, representing more than six sets takes a long time and is hard to interpret, unless many of the regions are empty. If you cannot make sense of the result, you may want to consider 'UpSetR'.
| Version: | 0.2.3 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, rsvg, grImport2 |
| Published: | 2021-01-24 |
| Author: | Victor Quesada [aut, cre, cph] |
| Maintainer: | Victor Quesada <quesadavictor at uniovi.es> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | nVennR citation info |
| Materials: | README |
| CRAN checks: | nVennR results |
| Reference manual: | nVennR.pdf |
| Vignettes: |
Using nVennR to generate and explore n-dimensional, quasi-proportional Venn diagrams |
| Package source: | nVennR_0.2.3.tar.gz |
| Windows binaries: | r-devel: nVennR_0.2.3.zip, r-release: nVennR_0.2.3.zip, r-oldrel: nVennR_0.2.3.zip |
| macOS binaries: | r-release (arm64): nVennR_0.2.3.tgz, r-oldrel (arm64): nVennR_0.2.3.tgz, r-release (x86_64): nVennR_0.2.3.tgz, r-oldrel (x86_64): nVennR_0.2.3.tgz |
| Old sources: | nVennR archive |
Please use the canonical form https://CRAN.R-project.org/package=nVennR to link to this page.