Tanimoto Coefficient/Index

Calculate the Tanimoto coefficient/index (also known as the Jaccard index). A value of 0 indicates no similarity and a value of 1 indicates perfect similarity.

Usage

Tanimoto.Idx(set1, set2)

Arguments

set1

vector of TRUE/FALSE values OR vector of integers. See Details above.

set2

vector of TRUE/FALSE values OR vector of integers. See Details above.

Value

numerical value indicating the Tanimoto coefficient

Details

Either two TRUE/FALSE vectors or two integer vectors can be provided. The TRUE/FALSE vectors must be the same lengths while the integer vectors only have to indicate indices of interest in each vector; see examples.

The Tanimoto coefficient is an indication of how similar two samples are to each other based on number of bits overlapping (in common) in relationship to the number of unique bits present in both samples.

Author

Emilio Xavier Esposito emilio.esposito@gmail.com (https://github.com/emilioxavier)

Examples

  set1 <- c(TRUE,TRUE,FALSE,FALSE,FALSE)
  set2 <- c(TRUE,FALSE,TRUE,TRUE,TRUE)
  Tanimoto.Idx(set1, set2)
#> [1] 0.2
  # 0.2

  set1 <- which(set1)
  set1
#> [1] 1 2
  # 1 2
  set2 <- which(set2)
  set2
#> [1] 1 3 4 5
  # 1 3 4 5
  Tanimoto.Idx(set1, set2)
#> [1] 0.2
  # 0.2