R package compositions:Compositional data analysis with R and the package compositions. This paper is a hands-on introduction and shows how to perform basic tasks in the analysis of compositional data following {it J. Aitchison}’s philosophy [The statistical analysis of compositional data. London-New York: Chapman and Hall (1986; Zbl 0688.62004)] within the statistical package `$R$’ and using a contributed package (called `compositions’), which is devoted specially to compositional data analysis. The studied asks are: descriptive statistics and plots (ternary diagrams, boxplots), principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA) of a dependent composition, some transformations and operations between compositions in the simplex.

References in zbMATH (referenced in 13 articles )

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  1. Boonen, Tim J.; Guillen, Montserrat; Santolino, Miguel: Forecasting compositional risk allocations (2019)
  2. Xia, Yinglin; Sun, Jun; Chen, Ding-Geng: Statistical analysis of microbiome data with R (2018)
  3. Tolosana-Delgado, R.; van den Boogaart, K. G.; Fišerová, E.; Hron, K.; Dunkl, I.: Joint compositional calibration: an example for U-Pb geochronology (2016)
  4. Ros-Freixedes, Roger; Estany, Joan: On the compositional analysis of fatty acids in pork (2014)
  5. Schaeben, Helmut: Potential modeling: conditional independence matters (2014)
  6. Leininger, Thomas J.; Gelfand, Alan E.; Allen, Jenica M.; Silander, John A. jun.: Spatial regression modeling for compositional data with many zeros (2013)
  7. van den Boogaart, K. Gerald; Tolosana-Delgado, Raimon: Analyzing compositional data with R (2013)
  8. Hron, K.; Templ, M.; Filzmoser, P.: Imputation of missing values for compositional data using classical and robust methods (2010)
  9. Cuevas, Antonio; Fraiman, Ricardo: On depth measures and dual statistics. A methodology for dealing with general data (2009)
  10. Rodrigues, Paulo C.; Lima, Ana T.: Analysis of a European Union election using principal component analysis (2009)
  11. Porzio, Giovanni C.; Ragozini, Giancarlo; Vistocco, Domenico: On the use of archetypes as benchmarks (2008)
  12. Stefanie Jachner; K. Gerald van den Boogaart; Thomas Petzoldt: Statistical Methods for the Qualitative Assessment of Dynamic Models with Time Delay (R Package qualV) (2007) not zbMATH
  13. Van der Boogaart, K. G.; Tolosana-Delgado, R.: Compositional data analysis with `(R)’ and the package `compositions’ (2006)