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Abstract:
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Distance-based ordination methods, such as the principal coordinate analysis (PCoA), are incapable of distinguishing between location effect (i.e., the effect caused by the difference in mean abundance) and dispersion effect (i.e., the effect caused by the difference in variability). In other words, PCoA may falsely display a location effect when there is a strong dispersion effect. To resolve this potential problem, We propose, as an ordination method, a zero-inflated quasi-Poisson factor model.
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