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: | 0.1.0 |
Depends: | R (≥ 3.3.0), ggplot2 |
Imports: | rlang, stringr, tidyselect, scales, generics, magrittr, tibble, broom, tidyr, dplyr, purrr, labeling, ggrepel |
Suggests: | testthat, sessioninfo, gridExtra, MASS, mlpack, vegan, heplots, knitr, rmarkdown |
Published: | 2022-08-18 |
Author: | Jason Cory Brunson [aut, cre], Emily Paul [ctb] |
Maintainer: | Jason Cory Brunson <cornelioid at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ordr results |
Reference manual: | ordr.pdf |
Vignettes: |
CMDS of covariances Ordination in the tidyverse |
Package source: | ordr_0.1.0.tar.gz |
Windows binaries: | r-devel: ordr_0.1.0.zip, r-release: ordr_0.1.0.zip, r-oldrel: ordr_0.1.0.zip |
macOS binaries: | r-release (arm64): ordr_0.1.0.tgz, r-oldrel (arm64): ordr_0.1.0.tgz, r-release (x86_64): ordr_0.1.0.tgz, r-oldrel (x86_64): ordr_0.1.0.tgz |
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