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ordr  

A 'tidyverse' Extension for Ordinations and Biplots
View on CRAN: Click here


Download and install ordr package within the R console
Install from CRAN:
install.packages("ordr")

Install from Github:
library("remotes")
install_github("cran/ordr")

Install by package version:
library("remotes")
install_version("ordr", "0.1.1")



Attach the package and use:
library("ordr")
Maintained by
Jason Cory Brunson
[Scholar Profile | Author Map]
First Published: 2022-08-18
Latest Update: 2022-10-20
Description:
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) 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) , 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) .
How to cite:
Jason Cory Brunson (2022). ordr: A 'tidyverse' Extension for Ordinations and Biplots. R package version 0.1.1, https://cran.r-project.org/web/packages/ordr. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.0 (2022-08-18 09:40)
Other packages that cited ordr R package
View ordr citation profile
Other R packages that ordr depends, imports, suggests or enhances
Complete documentation for ordr
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