UqN {hilldiv} | R Documentation |
Jaccard-type overlap
Description
The Jaccard-type overlap quantifies the effective proportion of OTUs or lineages in a system that are shared across all subsystems. Hence, this metric quantifies overlap from the perspective of the overall system. Its corresponding dissimilarity (1 - UqN) quantifies the effective proportion of nonshared OTUs or lineages in the overall system. UqN is integrated in the functions beta_dis() and pair_dis().
Usage
UqN(beta, qvalue, N)
Arguments
beta |
A beta diversity value based on Hill numbers. |
qvalue |
The q value used to compute the beta diversity. It needs to be a positive number, usually between 0 and 5, but most commonly 0, 1 or 2. It can be an integer or contain decimals. |
N |
An integer indicating sample size, the number of sampling units to be used to compute the similarity measure. |
Details
Jaccard-type overlap
Value
A Jaccard-type overlap value
Author(s)
Antton Alberdi, anttonalberdi@gmail.com
References
Alberdi, A., Gilbert, M.T.P. (2019). A guide to the application of Hill numbers to DNA-based diversity analyses. Molecular Ecology Resources, 19, 804-817.
Chao, A., Chiu, C.H., & Hsieh, T. C. (2012). Proposing a resolution to debates on diversity partitioning. Ecology, 93, 2037-2051.
Jost, L. (2007). Partitioning diversity into independent alpha and beta components. Ecology, 88, 2427-2439.
See Also
Examples
UqN(beta=1.24,qvalue=1,N=2)
UqN(1.24,1,2)