subcompositional

Weighted Logratio Biplots, Correspondence Analysis and Spectral Maps Michael Greenacre1 and Paul Lewi2 1 Universitat Pompeu Fabra, Barcelona, Spain; michael@upf. es 2 Center for Molecular Design, Janssen Pharmaceutica, Belgium; PLEWI@PRDBE.jnj.com Abstract Starting with logratio biplots for compositional data, which are based on the principle of subcompositional coherence, and then adding weights, as in correspondence analysis, we rediscover Lewi's spectral map and many connections to analyses of two-way tables of non-negative data.

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