barrel: Covariance-Based Ellipses and Annotation Tools for Ordination Plots

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 (may not be active yet)
Author:	Diego Barranco-Elena [aut, cre]
Maintainer:	Diego Barranco-Elena <diego.barranco at udl.cat>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	barrel results

Documentation:

Reference manual:	barrel.html , barrel.pdf
Vignettes:	Visualizing Ordinations with barrel (source)

Downloads:

Package source:	barrel_0.1.0.tar.gz
Windows binaries:	r-devel: barrel_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): barrel_0.1.0.tgz, r-oldrel (arm64): barrel_0.1.0.tgz, r-release (x86_64): barrel_0.1.0.tgz, r-oldrel (x86_64): barrel_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=barrel to link to this page.