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easyCODA (version 0.28)

Compositional Data Analysis in Practice

Description

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

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Version

Install

install.packages('easyCODA')

Monthly Downloads

305

Version

0.28

License

GPL

Maintainer

Michael Greenacre

Last Published

November 16th, 2018

Functions in easyCODA (0.28)

PCA

Principal component analysis
PLOT.CA

Plot the results of a correspondence analysis
cups

Dataset: RomanCups
invCLR

Inverse of centred logratios
invALR

Inverse of additive logratios
STEP

Stepwise selection of logratios
PLOT.RDA

Plot the results of a redundancy analysis
RDA

Redundancy analysis
PLR

Pivot logratios
SLR

Amalgamation (summed) logratio
PLOT.LRA

Plot the results of a logratio analysis
PLOT.PCA

Plot the results of a principal component analysis
CLR

Centred logratios
easyCODA-package

easyCODA
time

Dataset: TimeBudget
fish

Dataset: FishMorphology
veg

Dataset: Vegetables
ALR

Additive logratios
BAR

Compositional bar plot
ILR

Isometric logratio
LR

All pairwise logratios
DOT

Dot plot
DUMMY

Dummy variable (indicator) coding
CA

Correspondence analysis
LR.VAR

Total logratio variance
LRA

Logratio analysis