README.md
In EDIorg/taxonomyCleanr: A workflow and set of functions to clean taxonomy data using R
taxonomyCleanr
The taxonomyCleanr is a user friendly workflow and collection of functions to help you:
1. Identify and correct misspelled taxa
2. Resolve taxa to an authority (e.g. Integrated Taxonomic Information System (ITIS))
3. Get hierarchical rank values
4. Get common names
5. Render taxonomic information in the Ecological Metadata Language (EML).
The taxonomyCleanr is based on the taxize R package developed by Chamberlain et al. (2016).
Install
# Install from GitHub
remotes::install_github("EDIorg/taxonomyCleanr")
Usage
Check out example use cases in the taxonomyCleanr website articles
Roadmap
Coming soon!
Contributing
We welcome contributions of all forms including bug reports, requests for development, and new functionality. Please reference our code conduct and contributing guidelines for submitting pull requests.
Testing
Unit tests are found under /tests and follow the testthat methodology.
Versioning
Versioning for the taxonomyCleanr follows semantic versioning.
Authors
See the list of contributors to this project.
EDIorg/taxonomyCleanr documentation built on April 9, 2023, 2:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
taxonomyCleanr
The taxonomyCleanr is a user friendly workflow and collection of functions to help you:
1. Identify and correct misspelled taxa
2. Resolve taxa to an authority (e.g. Integrated Taxonomic Information System (ITIS))
3. Get hierarchical rank values
4. Get common names
5. Render taxonomic information in the Ecological Metadata Language (EML).
The taxonomyCleanr is based on the taxize R package developed by Chamberlain et al. (2016).
Install
# Install from GitHub
remotes::install_github("EDIorg/taxonomyCleanr")
Usage
Check out example use cases in the taxonomyCleanr website articles
Roadmap
Coming soon!
Contributing
We welcome contributions of all forms including bug reports, requests for development, and new functionality. Please reference our code conduct and contributing guidelines for submitting pull requests.
Testing
Unit tests are found under /tests and follow the testthat methodology.
Versioning
Versioning for the taxonomyCleanr follows semantic versioning.
Authors
See the list of contributors to this project.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.