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  • 标题:Exploring Compositional Data with the CoDa-Dendrogram
  • 本地全文:下载
  • 作者:Vera Pawlowsky-glahn ; Juan J. Egozcue
  • 期刊名称:Austrian Journal of Statistics
  • 出版年度:2011
  • 卷号:40
  • 期号:1-2
  • 出版社:Austrian Statistical Society
  • 摘要:

    Within the special geometry of the simplex, the sample space of
    compositional data, compositional orthonormal coordinates allow the application
    of any multivariate statistical approach. The search for meaningful
    coordinates has suggested balances (between two groups of parts)—based
    on a sequential binary partition of a D-part composition—and a representation
    in form of a CoDa-dendrogram. Projected samples are represented in a
    dendrogram-like graph showing: (a) the way of grouping parts; (b) the explanatory
    role of subcompositions generated in the partition process; (c) the
    decomposition of the variance; (d) the center and quantiles of each balance.
    The representation is useful for the interpretation of balances and to describe
    the sample in a single diagram independently of the number of parts. Also,
    samples of two or more populations, as well as several samples from the
    same population, can be represented in the same graph, as long as they have
    the same parts registered. The approach is illustrated with an example of food
    consumption in Europe.

  • 关键词:Aitchison Geometry; Euclidean Vector Space; Orthonormal Coordinates
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