RSE (version 1.3)

Pred.Qk.Naive: Incidence-based data: unweighted naive estimator

Description

Incidence-based unweighted naive estimator for predicting the number of new rare species

Usage

Pred.Qk.Naive(nT, u, f, k.show = 3)

Arguments

nT

The number of quadrats of the original sample

u

The number of quadrats of an additional sample

f

A vector of species frequency counts, i.e., the number of species dectected once (in only one quadrat), the number of species dectected twice (in exactly two quadrats), and so forth.

k.show

Display the estimating results of the numbers of new rare species detected in the number of quadrats <= k.show in the additional sample.

Value

The numbers of new rare species detected in the number of quadrats <= k.show are estimated by the incidence-based unweighted naive estimator and returned.

References

Shen TJ, Chen YH (2018) A Bayesian weighted approach to predicting the number of newly discovered rare species. Conservation Biology, In press.

See Also

Pred.Fk.Naive

Examples

# NOT RUN {
## As an example, Canadian-mite data are used here.	
data(CanadaMite)
## two columns represent two samples of incidence counts
X.merge = CanadaMite
## the first column is treated as the original sample
X.col1 = X.merge[,1]
Xi = X.col1
## Convert species incidence count data to frequency counts data
Q = X.to.f(Xi)
## the number of quadrats in the first sample
nT = 16
## the number of quadrats in the additional sample (i.e., the second column)
u = 16
Pred.Qk.Naive(nT=nT,u=u,f=Q)
# }