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Investigate the influence of the data transformations on statistical analysis: Visualize community variation with PCoA with the following options: 1) Bray-Curtis distances for compositional data; 2) Euclidean distances for CLR-transformed data.
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Bray-Curtis Distance. When the formula for Sorensen dissimilarity is extended from presence/absence data to species abundance data, it results in the Bray-Curtis distance measure:
20.1.3 Bray-Curtis Individual Distance. A distance metric that can be used to test differences among individuals or populations is that of Bray-Curtis. This distance is a transformation of Jaccard’s distance (see below) and is derived from an ecological ordination paper by Bray & Curtis (1957).
Next we’ll do some work with these beta diversity distance matrices. First, we’ll determine if the UniFrac and Bray-Curtis distance matrices are significantly correlated by computing the Mantel correlation between them. Then we’ll determine if the p-value is significant based on an alpha of 0.05.
6 lip 2018 · I am trying to calculate and visualize the Bray-Curtis dissimilarity between communities at paired/pooled sites using the Vegan package in R. Below is a simplified example dataframe:
29 maj 2024 · Jaccard index is metric, and probably should be preferred instead of the default Bray-Curtis which is semimetric. Aitchison distance (1986) and robust Aitchison distance (Martino et al. 2019) are metrics that deal with compositional data.
Bray-Curtis. Bray-Curtis is a popular similarity index for abundance data (Bray and Curtis 1957). Many authors operate with a Bray-Curtis distance, which is simply 1-d. Cosine. The inner product of abundances each normalised to unit norm, i.e. the cosine of the angle between the vectors. Morisita. For abundance data. Horn