Implementation of nonparametric multivariate statistics with S

Ching Fan Sheu, Suzanne O'Curry

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Multivariate nonparametric statistical methods have not been widely used by psychologists. One reason for this may have been that the usual general-purpose packages do not provide easy implementation of these methods. In this article, we briefly describe the multivariate extensions of the sign, signed-rank, and rank-sum tests and use S, a programming environment for data analysis, to implement these statistical procedures. Three numerical examples are used to illustrate the flexibility and efficiency of these computations in S.

Original languageEnglish
Pages (from-to)315-318
Number of pages4
JournalBehavior Research Methods, Instruments, and Computers
Issue number2
Publication statusPublished - 1996 May

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Psychology (miscellaneous)
  • Psychology(all)


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