, Volume 58, Issue 1, pp 53–69 | Cite as

The rowwise correlation between two proximity matrices and the partial rowwise correlation

  • Han de Vries


This paper discusses rowwise matrix correlation, based on the weighted sum of correlations between all pairs of corresponding rows of two proximity matrices, which may both be square (symmetric or asymmetric) or rectangular. Using the correlation coefficients usually associated with Pearson, Spearman, and Kendall, three different rowwise test statistics and their normalized coefficients are discussed, and subsequently compared with their nonrowwise alternatives like Mantel'sZ. It is shown that the rowwise matrix correlation coefficient between two matricesX andY is the partial correlation between the entries ofX andY controlled for the nominal variable that has the row objects as categories. Given this fact, partial rowwise correlations (as well as multiple regression extensions in the case of Pearson's approach) can be easily developed.

Key words

matrix permutation tests rowwise matrix correlation partial matrix correlation Mantel'sZ statistic nonparametric statistics 


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Copyright information

© The Psychometric Society 1993

Authors and Affiliations

  • Han de Vries
    • 1
  1. 1.Projectgroup of Ethology & Socio-ecologyThe University of UtrechtUtrechtThe Netherlands

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