A Basic Set of Functions for Compositional Data Analysis
Additive log-ratio basis
Coordinates basis
Balance generated from the first canonical correlation component
Isometric log-ratio basis based on canonical correlations
Isometric log-ratio basis based on Balances.
CoDaPack's default binary partition
Dataset center
Centered log-ratio basis
coda.base
Get composition from coordinates w.r.t. an specific basis
Get coordinates from compositions w.r.t. an specific basis
Distance Matrix Computation (including Aitchison distance)
Geometric Mean
Isometric/Orthonormal log-ratio basis for log-transformed compositions...
Pairwise log-ratio generator system
Isometric log-ratio basis based on Principal Balances.
Isometric log-ratio basis based on Principal Components.
Plot a balance
Printing coordinates
Import data from a codapack workspace
Isometric log-ratio basis based on Balances
Variation array is returned.
A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982). Main functions have been implemented in c++ for better performance.