| completenessProfile | R Documentation |
Compute the ratio of observed to estimated diversity across diversity orders, measuring how complete a sample is at each level of the Hill number spectrum.
completenessProfile(x, q = seq(0, 2, by = 0.2), coords = NULL)
x |
A site-by-species matrix (abundance data). |
q |
Numeric vector. Orders of diversity to evaluate. Default
|
coords |
Optional data.frame with columns |
Sample completeness at order q is:
C_q = \frac{D_q^{obs}}{D_q^{est}}
where D_q^{obs} is the observed Hill number and D_q^{est} is
the estimated asymptotic Hill number.
Completeness near 1 means the sample captures most of the true diversity at that order. Completeness typically increases with q because dominant species are detected early.
Asymptotic estimators used:
q = 0: Chao1 estimator
q = 1: Chao & Jost (2015) entropy estimator
q = 2: Inverse Simpson estimator with bias correction
Other q: Interpolated between adjacent integer estimates
When coords is provided, per-site completeness is computed by treating
each site's abundance vector as an independent sample.
An object of class spacc_completeness containing:
completeness |
Named numeric vector of completeness ratios per q |
observed |
Named numeric vector of observed Hill numbers per q |
estimated |
Named numeric vector of estimated asymptotic Hill numbers per q |
per_site |
Matrix of per-site completeness (sites x q values), or |
q |
Vector of diversity orders |
coords |
Coordinates if provided |
n_sites |
Number of sites |
n_species |
Number of species |
Chao, A. & Jost, L. (2012). Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size. Ecology, 93, 2533-2547.
Chao, A. & Jost, L. (2015). Estimating diversity and entropy profiles via discovery rates of new species. Methods in Ecology and Evolution, 6, 873-882.
diversityProfile() for observed diversity profiles,
chao1() for richness estimation
species <- matrix(rpois(50 * 30, 2), nrow = 50)
comp <- completenessProfile(species)
print(comp)
plot(comp)
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