A 'Tidyverse' Extension for Ordinations and Biplots R package ordr version 0.2.0 Ordination comprises several multivariate exploratory and explanatory techniques with theoretical foundations in geometric data analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations. Greenacre (2010, ISBN:978-84-923846) shows how the most established of these, including principal components analysis, correspondence analysis, multidimensional scaling, factor analysis, and discriminant analysis, rely on eigen-decompositions or singular value decompositions of pre-processed numeric matrix data. These decompositions give rise to a set of shared coordinates along which the row and column elements can be measured. The overlay of their scatterplots on these axes, introduced by Gabriel (1971) <doi:10.1093/biomet/58.3.453>, is called a biplot. 'ordr' provides inspection, extraction, manipulation, and visualization tools for several popular ordination classes supported by a set of recovery methods. It is inspired by and designed to integrate into 'Tidyverse' workflows provided by Wickham et al (2019) <doi:10.21105/joss.01686>. Software Depends: R (>= 3.3.0), ggplot2 Imports: rlang, cli, MASS, stringr, tidyselect, scales, generics, magrittr, tibble, tidyr, dplyr, purrr, labeling, ggrepel, gggda Suggests: testthat, sessioninfo, gridExtra, mlpack, ddalpha, knitr, rmarkdown Jason Cory Brunson <cornelioid@gmail.com> Comprehensive R Archive Network (CRAN) Jason Cory Brunson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3126-9494>), Emily Paul [ctb], John Gracey [aut] GPL-3 2025-07-10 application/tgz https://CRAN.R-project.org/package=ordr doi:10.32614/CRAN.package.ordr