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  "Description": "Multiple comparison techniques are typically applied\nfollowing an F test from an ANOVA to decide which means are\nsignificantly different from one another. As an alternative to\ntraditional methods, cluster analysis can be performed to group\nthe means of different treatments into non-overlapping\nclusters. Treatments in different groups are considered\nstatistically different. Several approaches have been proposed,\nwith varying clustering methods and cut-off criteria. This\npackage implements cluster-based multiple comparisons tests and\nalso provides a visual representation in the form of a\ndendrogram. Di Rienzo, J. A., Guzman, A. W., & Casanoves, F.\n(2002) <jstor.org/stable/1400690>. Bautista, M. G., Smith, D.\nW., & Steiner, R. L. (1997) <doi:10.2307/1400402>.",
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