Ordination comprises several multivariate exploratory and explanatory techniques with theoretical foundations in geometric data analysis; see Podani (2000, ISBN:9057820676) for techniques and applications and Le Roux & Rouanet (2005) <doi:10.1007/1402022360> for foundations. Greenacre (2010, ISBN:97884923846) shows how the most established of these, including principal components analysis, correspondence analysis, multidimensional scaling, factor analysis, and discriminant analysis, rely on eigendecompositions or singular value decompositions of preprocessed 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>.
Package details 


Author  Jason Cory Brunson [aut, cre] (<https://orcid.org/0000000331269494>), Emily Paul [ctb] 
Maintainer  Jason Cory Brunson <cornelioid@gmail.com> 
License  GPL3 
Version  0.1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.