Package: F2Adonis2 0.1.1

Lakviru Perera
F2Adonis2: PERMANOVA using the F2 Statistic
Implements the F2 statistic of Anderson et al. (2017) <doi:10.1111/anzs.12176> for permutational multivariate analysis of variance (PERMANOVA) on dissimilarity matrices. The F2 statistic uses group-specific dispersion estimates, so group centroids can be compared when dispersions differ and group sizes are unequal. P-values are obtained by permutation, bootstrap, or bias-adjusted bootstrap. The formula interface follows 'adonis2()' in the 'vegan' package.
Authors:
F2Adonis2_0.1.1.tar.gz
F2Adonis2_0.1.1.zip(r-4.7-any)F2Adonis2_0.1.1.zip(r-4.6-any)
F2Adonis2_0.1.1.tar.gz(r-4.7-any)F2Adonis2_0.1.1.tar.gz(r-4.6-any)
F2Adonis2_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
F2Adonis2/json (API)
| # Install 'F2Adonis2' in R: |
| install.packages('F2Adonis2', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lakviruperera/f2adonis2/issues
- norway_metadata - Norway Benthic Macrofauna Metadata
- norway_pa - Norway Benthic Macrofauna Presence-Absence Data
- pkd_metabolites - Polycystic Kidney Disease (PKD) Metabolites
- pkd_metadata - Polycystic Kidney Disease (PKD) Metadata
Last updated from:259a43a2cb. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 150 | ||
| source / vignettes | OK | 249 | ||
| linux-release | OK | 130 | ||
| windows-devel | OK | 98 | ||
| windows-release | OK | 99 | ||
| wasm-release | OK | 114 |
Exports:F2_adonis2
Last update: 2026-11-04
Started: 2026-11-04
Last update: 2026-11-04
Started: 2026-11-04
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Permutational Multivariate Analysis of Variance Using the F2 Statistic | F2_adonis2 |
| Norway Benthic Macrofauna Metadata | norway_metadata |
| Norway Benthic Macrofauna Presence-Absence Data | norway_pa |
| Polycystic Kidney Disease (PKD) Metabolites | pkd_metabolites |
| Polycystic Kidney Disease (PKD) Metadata | pkd_metadata |
