A Basic Set of Functions for Compositional Data Analysis

A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison (1982) < http://www.jstor.org/stable/2345821>. Main functions have been implemented in c++ for better performance.


coda.base 0.1.12 (Release date: 2018-04-15)

  • coordinates function keeps row.names attribute (thank )
  • Principal components calculations are done using svd function which is faster than princomp
  • sbp_basis function does not need package to be loaded, can run as coda.base::sbp_basis()

coda.base 0.1.11 (Release date: 2018-12-23)

  • Principal components coordinates uncentered.
  • Sequential binary partition can be defined using a matrix with -1,0 and 1's.
  • CoDaPack's basis included.
  • A vignette explaining how to build coordinates has been included.

coda.base 0.1.10 (Release date: 2018-08-03)

  • Principal Balances included as direct method in coordinates function.
  • Coordinates function filters non-valid compositions.

coda.base 0.1.9 (Release date: 2018-05-03)

  • Modifications included to rcran policies.

coda.base 0.1.8 (Release date: 2017-12-03)

  • Exact algorithm for Principal Balances included.
  • Bug in lsearch base in principal components solved.

coda.base 0.1.7 (Release date: 2017-08-25)

  • Problem with function composition using 'clr' basis solved.
  • 'coda.base.basis' option included to hide the basis when printing the coordinates.
  • New method which uses the principal components included in pb_basis.
  • Documentaion improved.

Reference manual

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0.3.1 by Marc Comas-Cufí, a year ago

https://mcomas.github.io/coda.base, https://github.com/mcomas/coda.base

Browse source code at https://github.com/cran/coda.base

Authors: Marc Comas-Cufí [aut, cre]

Documentation:   PDF Manual  

GPL license

Imports Rcpp, stats

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo

See at CRAN