barrel: Covariance-Based Ellipses and Annotation Tools for OrdinationPlots
Provides tools to visualize ordination results in 'R' by adding covariance-based ellipses, centroids, vectors, and confidence regions to plots created with 'ggplot2'. The package extends the 'vegan' framework and supports Principal Component Analysis (PCA), Redundancy Analysis (RDA), and Non-metric Multidimensional Scaling (NMDS). Ellipses can represent either group dispersion (standard deviation, SD) or centroid precision (standard error, SE), following Wang et al. (2015) <doi:10.1371/journal.pone.0118537>. Robust estimators of covariance are implemented, including the Minimum Covariance Determinant (MCD) method of Hubert et al. (2018) <doi:10.1002/wics.1421>. This approach reduces the influence of outliers. barrel is particularly useful for multivariate ecological datasets, promoting reproducible, publication-quality ordination graphics with minimal effort.
| Version: | 0.1.0 |
| Imports: | robustbase,ggplot2, stats,ggrepel,vegan, grid,rlang |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0),vdiffr |
| Published: | 2025-11-03 |
| DOI: | 10.32614/CRAN.package.barrel |
| Author: | Diego Barranco-Elena [aut, cre] |
| Maintainer: | Diego Barranco-Elena <diego.barranco at udl.cat> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | barrel results |
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