easyCODA-package: Compositional Data Analysis in Practice
In easyCODA: Compositional Data Analysis in Practice

easyCODA-package

R Documentation

Compositional Data Analysis in Practice

Description

Univariate and multivariate methods for compositional data analysis, based on logratios. The package implements the approach in the book Compositional Data Analysis in Practice by Michael Greenacre (2018), where accent is given to simple pairwise logratios. Selection can be made of logratios that account for a maximum percentage of logratio variance. Various multivariate analyses of logratios are included in the package.

Details

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Author(s)

Michael Greenacre [aut, cre]

Maintainer: Michael Greenacre <michael.greenacre@upf.edu>

References

Greenacre, Michael (2018) Compositional Data Analysis in Practice. Chapman & Hall / CRC Press

Examples

# Roman cups glass compositions
data("cups")
# unweighted logratio analysis
cups.ulra <- LRA(cups, weight=FALSE)
PLOT.LRA(cups.ulra)
# weighted logratio analysis
cups.wlra <- LRA(cups)
PLOT.LRA(cups.wlra)

easyCODA documentation built on Sept. 11, 2024, 5:33 p.m.