ecodist-package: Dissimilarity-Based Functions for Ecological Analysis
In ecodist: Dissimilarity-Based Functions for Ecological Analysis
ecodist-package R Documentation
Dissimilarity-Based Functions for Ecological Analysis
Description
Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data.
Details
This package contains well-established dissimilarity-based ecological analyses, such as nmds and mantel, and experimental/research analyses such as xmantel. Helper functions such as crosstab and cor2m facilitate analysis of community data.
Because many of the analyses are time-consuming, this package includes worked examples that can be loaded using data().
Index: This package was not yet installed at build time.
Author(s)
Sarah Goslee and Dean Urban
Maintainer: Sarah Goslee <Sarah.Goslee@ars.usda.gov>
ecodist documentation built on Nov. 2, 2023, 6:01 p.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.
| ecodist-package | R Documentation |
Dissimilarity-Based Functions for Ecological Analysis
Description
Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data.
Details
This package contains well-established dissimilarity-based ecological analyses, such as nmds and mantel, and experimental/research analyses such as xmantel. Helper functions such as crosstab and cor2m facilitate analysis of community data.
Because many of the analyses are time-consuming, this package includes worked examples that can be loaded using data().
Index: This package was not yet installed at build time.
Author(s)
Sarah Goslee and Dean Urban
Maintainer: Sarah Goslee <Sarah.Goslee@ars.usda.gov>
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.