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beta_diversity_metrics – List of available metrics

Non-phylogenetic beta diversity metrics. These are count based metrics which is based on the OTU table:

  • abund_jaccard: abundance weighted Jaccard distance
  • binary_dist_chisq: Binary chi-square distance
  • binary_dist_chord: Binary chord distance
  • binary_dist_euclidean: Binary euclidean distance
  • binary_dist_hamming: Binary Hamming distance (binary Manhattan distance)
  • binary_dist_jaccard: Binary Jaccard distance (binary Soergel distance)
  • binary_dist_lennon: Binary Lennon distance
  • binary_dist_ochiai: Binary Ochiai distance
  • binary_dist_pearson: Binary Pearson distance
  • binary_dist_sorensen_dice: Binary Sörensen-Dice distance (binary Bray-Curtis distance or binary Whittaker distance)
  • dist_bray_curtis: Bray-Curtis distance (normalized Manhattan distance)
  • dist_canberra: Canberra distance
  • dist_chisq: Chi-square distance
  • dist_chord: Chord distance
  • dist_euclidean: Euclidean distance
  • dist_gower: Gower distance
  • dist_hellinger: Hellinger distance
  • dist_kulczynski: Kulczynski distance
  • dist_manhattan: Manhattan distance
  • dist_morisita_horn: Morisita-Horn distance
  • dist_pearson: Pearson distance
  • dist_soergel: Soergel distance
  • dist_spearman_approx: Spearman rank distance
  • dist_specprof: Species profile distance

Phylogenetic beta diversity metrics. These metrics are based on UniFrac, which takes into account the evolutionary relationship between sequences:

  • dist_unifrac_G: The G metric calculates the fraction branch length in the sample i + sample j tree that is exclusive to sample i and it is asymmetric.
  • dist_unifrac_G_full_tree: The full_tree version calculates the fraction of branch length in the full tree that is exclusive to sample i and it is asymmetric.
  • dist_unweighted_unifrac: This is the standard unweighted UniFrac, which is used to assess ‘who’s there’ without taking in account the relative abundance of identical sequences.
  • dist_unweighted_unifrac_full_tree: Typically, when computing the dissimilarity between two samples, unifrac considers only the parts of the phylogenetic tree contained by otus in either sample. The full_tree modification considers the entire supplied tree.
  • dist_weighted_normalized_unifrac: Weighted UniFrac with normalized values and is used to include abundance information. The normalization adjusts for varying root-to-tip distances.
  • dist_weighted_unifrac: Weighted UniFrac.

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