Abstract
The association between constant-sum variables Xi and Xj expressed as percentages can be calculated as a product-moment correlation between Xi and Xj/(100 − Xi ) and a correlation between Xj and Xi/(100 − Xj ). An asymmetric, square matrix may be formed from these coefficients, and multivariate analysis performed by two methods: singular value decomposition and canonical decomposition. Either analysis avoids problems in the interpretation of correlation coefficients determined from closed arrays, and provides information about dependencies among the variables beyond that obtained from the usual correlation coefficient between Xi and Xj.Two examples show the canonical decomposition to have the greater usefulness.
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Hohn, M.E., Nuhfer, E.B. Asymmetric measures of association, closed data, and multivariate analysis. Mathematical Geology 12, 235–246 (1980). https://doi.org/10.1007/BF01091206
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DOI: https://doi.org/10.1007/BF01091206