Introduction | Installation | Load rarestR and the demo dataset | Calculate the Expected Species | Compute dissimilarity estimates between two samples based on Expected Species Shared (ESS)-measures | Calculate and visualize the Total Expected Species base on ESa, ESb and their average value | Calculate and visualize the Total number of Expected Shared Species between two samples | Customize the plots | Reference
Package: rarestR 1.1.1
Peng Zhao
rarestR: Rarefaction-Based Species Richness Estimator
Calculate rarefaction-based alpha- and beta-diversity. Offer parametric extrapolation to estimate the total expected species in a single community and the total expected shared species between two communities. Visualize the curve-fitting for these estimators.
Authors:
rarestR_1.1.1.tar.gz
rarestR_1.1.1.zip(r-4.7-any)rarestR_1.1.1.zip(r-4.6-any)rarestR_1.1.1.zip(r-4.5-any)
rarestR_1.1.1.tgz(r-4.6-any)rarestR_1.1.1.tgz(r-4.5-any)
rarestR_1.1.1.tar.gz(r-4.7-any)rarestR_1.1.1.tar.gz(r-4.6-any)
rarestR_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rarestR/json (API)
| # Install 'rarestR' in R: |
| install.packages('rarestR', repos = c('https://pzhaonet.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pzhaonet/rarestr/issues
Pkgdown/docs site:https://pzhaonet.github.io
Datasets:
- share - Dataset for rarestR.
Last updated from:f88d5dcea4. Checks:7 NOTE, 2 OK. Indexed: yes.
