ordr: A 'Tidyverse' Extension for Ordinations and Biplots
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>.
| Version: | 0.2.0 |
| 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 |
| Published: | 2025-07-10 |
| DOI: | 10.32614/CRAN.package.ordr |
| Author: | Jason Cory Brunson [aut, cre], Emily Paul [ctb], John Gracey [aut] |
| Maintainer: | Jason Cory Brunson <cornelioid at gmail.com> |
| BugReports: | https://github.com/corybrunson/ordr/issues |
| License: | GPL-3 |
| URL: | https://github.com/corybrunson/ordr,https://corybrunson.github.io/ordr/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ordr results |
Documentation:
| Reference manual: | ordr.html ,ordr.pdf |
| Vignettes: | CMDS of covariances (source,R code) Ordination in the tidyverse (source,R code) |
Downloads:
| Package source: | ordr_0.2.0.tar.gz |
| Windows binaries: | r-devel:ordr_0.2.0.zip, r-release:ordr_0.2.0.zip, r-oldrel:ordr_0.2.0.zip |
| macOS binaries: | r-release (arm64):ordr_0.2.0.tgz, r-oldrel (arm64):ordr_0.2.0.tgz, r-release (x86_64):ordr_0.2.0.tgz, r-oldrel (x86_64):ordr_0.2.0.tgz |
| Old sources: | ordr archive |
Linking:
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