R: Compositional Data Analysis in Practice

# Compositional Data Analysis in Practice

## Documentation for package ‘easyCODA’ version 0.40.2

- DESCRIPTION file

## Help Pages

easyCODA-package | Compositional Data Analysis in Practice
ACLUST | Amalgamation clustering of the parts of a compositional data matrix
ALR | Additive logratios
BAR | Compositional bar plot
CA | Correspondence analysis
CIplot_biv | Bivariate confidence and data ellipses
CLOSE | Closure of rows of compositional data matrix
CLR | Centred logratios
cups | Dataset: RomanCups
DOT | Dot plot
DUMMY | Dummy variable (indicator) coding
FINDALR | Find the best ALR transformation
fish | Dataset: FishMorphology
ILR | Isometric logratio
invALR | Inverse of additive logratios
invCLR | Inverse of centred logratios
invSLR | Inverse of full set of amalgamation balances
LR | All pairwise logratios
LR.VAR | Total logratio variance
LRA | Logratio analysis
PCA | Principal component analysis
PLOT.CA | Plot the results of a correspondence analysis
PLOT.LRA | Plot the results of a logratio analysis
PLOT.PCA | Plot the results of a principal component analysis
PLOT.RDA | Plot the results of a redundancy analysis
PLR | Pivot logratios
RDA | Redundancy analysis
SLR | Amalgamation (summed) logratio
STEP | Stepwise selection of logratios
STEPR | Stepwise selection of pairwise logratios for generalized linear modelling
time | Dataset: TimeBudget
VAR | Variance of a vector of observations, dividing by n rather than n-1
veg | Dataset: Vegetables
WARD | Ward clustering of a compositional data matrix