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Extending a scatterplot for displaying group structure in multivariate data : a case study

dc.contributor.authorGardner, S.en_ZA
dc.contributor.authorLe Roux, N. J.en_ZA
dc.contributor.authorRypstra, T.en_ZA
dc.contributor.authorSwart, J. P. J.
dc.date.accessioned2012-07-13T12:36:24Z
dc.date.available2012-07-13T12:36:24Z
dc.date.issued2005
dc.identifier.citationGardner, S., et al. 2005. Extending a scatterplot for displaying group structure in multivariate data : a case study. ORiON, 21(2):111–124, doi:10.5784/21-2-23
dc.identifier.issn2224-0004 (online)
dc.identifier.issn0259-191X (print)
dc.identifier.otherdoi:10.5784/21-2-23
dc.identifier.urihttp://hdl.handle.net/10019.1/21692
dc.descriptionCITATION: Gardner, S., et al. 2005. Extending a scatterplot for displaying group structure in multivariate data : a case study. ORiON, 21(2):111–124, doi:10.5784/21-2-23.
dc.descriptionThe original publication is available at http://orion.journals.ac.za
dc.description.abstractENGLISH SUMMARY : The power of canonical variate analysis (CVA) biplots, when regarded as extensions of or- dinary scatterplots to describe variation and group structure in multivariate observations, is demonstrated by presenting a case study from the South African wood pulp industry. It is shown how multidimensional standards specified by users of a product may be added to the biplot in the form of acceptance regions such that the roles of the respective variables that influence the product can be ascertained. The case study considers an alternative to CVA and multivariate analysis of variance (MANOVA) when the application of these procedures becomes questionable as a result of dealing with small sample sizes and heterogeneity of covariance matrices. It is explained how analysis of distance (AOD) analogous to analysis of variance may be performed in such cases. Biplots to accompany AOD are provided. The biplots and AOD illustrated in the case study from the wood pulp industry have the potential to be used widely where a primary product, influenced by several variables, is produced and where this product is of importance to various secondary manufacturers depending on which set of multidimensional specifications are met.en_ZA
dc.description.urihttp://orion.journals.ac.za/pub/article/view/23
dc.format.extent14 pages
dc.language.isoen_ZAen_ZA
dc.publisherOperations Research Society of South Africa
dc.subjectCanonical Variate Analysisen_ZA
dc.subjectMultidimensional scalingen_ZA
dc.subjectMultivariate analysisen_ZA
dc.titleExtending a scatterplot for displaying group structure in multivariate data : a case studyen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's version
dc.rights.holderORiON


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