easyCODA-package {easyCODA}R Documentation

Compositional Data Analysis in Practice

Description

Univariate and multivariate methods for compositional data analysis, based on logratios.

Details

The DESCRIPTION file:

Package: easyCODA
Type: Package
Depends: ca (>= 0.6)
Title: Compositional Data Analysis in Practice
Version: 0.23
Date: 2018-05-29
Author: Michael Greenacre
Maintainer: Michael Greenacre <michael.greenacre@upf.edu>
Description: Univariate and multivariate methods for compositional data analysis, based on logratios.
License: GPL
Repository: R-Forge
Repository/R-Forge/Project: easycoda
Repository/R-Forge/Revision: 11
Repository/R-Forge/DateTimeStamp: 2018-05-29 19:50:47
Date/Publication: 2018-05-29 19:50:47

Index of help topics:

ALR                     Additive logratios
BAR                     Compositional bar plot
CLR                     Centred logratios
DOT                     Dot plot
LR                      All pairwise logratios
LR.VAR                  Total logratio variance
LRA                     Logratio analysis
PLOT.LRA                Plot the results of a logratio analysis
Tellus                  Dataset: Tellus
cups                    Dataset: RomanCups
easyCODA-package        Compositional Data Analysis in Practice
invALR                  Inverse of additive logratios
invCLR                  Inverse of centred logratios
veg                     Dataset: Vegetables

Author(s)

Michael Greenacre

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

References

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

See Also

ca

Examples

data("author")
which(author == 0, arr.ind = TRUE)
# row 5 (Farewell to Arms) and col 17 (Q) has a zero
# replace it with 0.5 for the logratio analysis
author[5,17] <- 0.5
plot(LRA(author))

[Package easyCODA version 0.23 Index]