Compositional Tables Analysis in Coordinates
Abstract
Compositional tables – a continuous counterpart to the contingency tables – carry relative information about relationships between row and column factors; thus, for their analysis, only ratios between cells of a table are informative. Consequently, the standard Euclidean geometry should be replaced by the Aitchison geometry on the simplex that enables decomposition of the table into its independent and interactive parts. The aim of the paper is to find interpretable coordinate representation for independent and interaction tables (in sense of balances and odds ratios of cells, respectively), where further statistical processing of compositional tables can be performed. Theoretical results are applied to real‐world problems from a health survey and in macroeconomics.
Citing Literature
Number of times cited according to CrossRef: 6
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- J. de Sousa, K. Hron, K. Fačevicová, P. Filzmoser, Robust principal component analysis for compositional tables, Journal of Applied Statistics, 10.1080/02664763.2020.1722078, (1-20), (2020).
- Radka Dofková, Jana Kvintová, , Personality Development of Prospective Mathemathics Teachers, 10.5507/pdf.19.24456409, (2019).
- Peter Filzmoser, Karel Hron, Matthias Templ, Peter Filzmoser, Karel Hron, Matthias Templ, Compositional Tables, Applied Compositional Data Analysis, 10.1007/978-3-319-96422-5_12, (227-243), (2018).
- Kamila Fačevicová, Karel Hron, Valentin Todorov, Matthias Templ, General approach to coordinate representation of compositional tables, Scandinavian Journal of Statistics, 10.1111/sjos.12326, 45, 4, (879-899), (2018).
- Kamila Fačevicová, Karel Hron, Compositional Tables, Wiley StatsRef: Statistics Reference Online, 10.1002/9781118445112, (1-6), (2014).




