A tidy and flexible framework for visualizing multivariate ordinations in R
barrel is an R package that enhances the visualization of ordination
analyses (e.g. NMDS, RDA, dbRDA) using ggplot2. It provides a modular
set of tools to add ellipses, centroids, environmental vectors, and
annotations — all compatible with tidyverse workflows.
install.packages("barrel")# install.packages("devtools")
devtools::install_github("BarrancoElena/barrel")library(vegan)
library(barrel)
library(ggplot2)
data(dune)
data(dune.env)
ord <- metaMDS(dune)
ord <- barrel_prepare(ord, dune.env)
autoplot(ord, group = "Management", data = dune)autoplot(): single-function plotting of NMDS, RDA, dbRDA, CCA, etc.- Support for 
method = "classic"and"robust"covariance estimation - Ellipses (
stat_barrel()), centroids (stat_barrel_centroid()), vectors (stat_barrel_arrows()) - Annotated variance or stress via 
stat_barrel_annotate() - Functions to extract group summaries and environmental fits
 - Customizable with standard 
ggplot2syntax 
A full user guide is available:
browseVignettes("barrel")Diego Barranco-Elena
@BarrancoElena
MIT © 2025 Diego Barranco-Elena

