25. robCompositions: An R-package for Robust Statistical Analysis of Compositional Data

  1. Vera Pawlowsky-Glahn4 and
  2. Antonella Buccianti5
  1. Matthias Templ1,2,
  2. Karel Hron3 and
  3. Peter Filzmoser1

Published Online: 28 JUL 2011

DOI: 10.1002/9781119976462.ch25

Compositional Data Analysis: Theory and Applications

Compositional Data Analysis: Theory and Applications

How to Cite

Templ, M., Hron, K. and Filzmoser, P. (2011) robCompositions: An R-package for Robust Statistical Analysis of Compositional Data, in Compositional Data Analysis: Theory and Applications (eds V. Pawlowsky-Glahn and A. Buccianti), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119976462.ch25

Editor Information

  1. 4

    Department of Computer Science and Applied Mathematics, University of Girona, Spain

  2. 5

    Department of Earth Sciences, University of Florence, Italy

Author Information

  1. 1

    Department of Statistics and Probability Theory, Vienna University of Technology, Austria

  2. 2

    Methods Unit, Statistics Austria, Vienna, Austria

  3. 3

    Department of Mathematical Analysis and Applications of Mathematics, Palacký University, Czech Republic

Publication History

  1. Published Online: 28 JUL 2011
  2. Published Print: 23 SEP 2011

ISBN Information

Print ISBN: 9780470711354

Online ISBN: 9781119976462

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Keywords:

  • robCompositions, R-package - for robust statistical analysis of compositional data;
  • programming language, software environment R - software tools for statistics and data analysis;
  • data sets in R-package robCompositions;
  • design principles, and functions in package robCompositions - function overloading and method dispatch of R;
  • multivariate statistical methods - for compositional data containing outliers, popular (robust) methods;
  • PCAs and robust compositional biplot - function pcaCoDa(), scores and loadings in clr space;
  • compositional biplots - using classical and robust estimates;
  • discriminant analysis - robust discriminant analysis with package robCompositions, the coffee data set;
  • robust imputation of missing values - real-world compositional data sets;
  • design principles, and usage of R-package robCompositions - using practical data examples

Summary

This chapter contains sections titled:

  • General Information on the R-package robCompositions

  • Expressing Compositional Data in Coordinates

  • Multivariate Statistical Methods for Compositional Data Containing Outliers

  • Robust Imputation of Missing Values

  • Summary

  • References