ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R

Autores

  • Enio Jelihovschi Universidade Estadual de Santa Cruz
  • José Cláudio Faria Universidade Estadual de Santa Cruz
  • Ivan Bezerra Allaman Universidade Estadual de Santa Cruz

DOI:

https://doi.org/10.5540/tema.2014.015.01.0003

Resumo

Scott-Knott is an hierarchical clustering algorithm used in the ANOVA context, when the researcher is comparing treatment means, with a very important characteristic: it does not present any overlapping in its grouping results. We wrote a code, in R, that performs this algorithm starting from vectors, data.frame, aov or aov.list objects. The results are presented with letters representing groups as well as in graphical way using different colors to differentiate among the distinct groups.

Biografia do Autor

Enio Jelihovschi, Universidade Estadual de Santa Cruz

Departarmento de Ciências Exatas e Tecnológicas

Área: Estatística.

José Cláudio Faria, Universidade Estadual de Santa Cruz

Departarmento de Ciências Exatas e Tecnológicas

Área: Estatística.

Ivan Bezerra Allaman, Universidade Estadual de Santa Cruz

Departarmento de Ciências Exatas e Tecnológicas

Área: Estatística.

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Publicado

2014-03-05

Como Citar

Jelihovschi, E., Faria, J. C., & Allaman, I. B. (2014). ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R. Trends in Computational and Applied Mathematics, 15(1), 003–017. https://doi.org/10.5540/tema.2014.015.01.0003

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