Description Usage Arguments Details Value Author(s) References Examples
SpeciesIncidence is a function to provide a Species richness estimator proposed by Chao (2005) et al.
There are seven other estimators which are Homogeneous Model(1994) estimators; Chao2 (1987) estimator; Chao2-bc (2005) estimator; ICE (1994) estimator; Ace-1 estimator; 1st order jackknife (1978) estimators and the 2nd order jackknife (1978) estimators.
1 2 | SpeciesIncidence(data, method = c("all", "Homogeneous", "Chao", "CE", "Jackknife"),
k = 10, conf = 0.95)
|
data |
a vector of species incidence frequency and the input format of first entry should be total number of sampling units, and followed by species incidence frequency. |
method |
the |
k |
cut-off point. It is a value that separates frequency counts into abundant and rare groups |
conf |
a positive number ≤ 1. " |
method = "all"
: all estimators below involved. The default is "all
"
method = "Homogeneous"
estimator, see Chao and Lee. (1992)
method = "Chao"
estimator, see Chao, Ann (1984 & 2005)
method = "CE"
estimator, see Chao and Lee. (1992)
method = "Jackknife"
estimator, see Burnham, K. P. and Overton, W. S. (1978)
SpeciesIncidence returns a table of various species richness estimators, their standard error, 95 % confidence interval and CV_rare which the method
you choose.
K.S. Tseng ; Y.H. Lee : Anne Chao
Maintainer : Anne Chao chao@stat.nthu.edu.tw
Chao, A. and Lee, S.-M. (1992). Estimating the number of classes via sample converage. Journal of the American Statistical Association, 87, 210-217.
Chao, A. (1984). Nonparametric estimation of the number of classes in a population. Scandinavian Journal of Statistics, 11, 265-270.
Chao, A. (2005). Species estimation and applications. Encyclopedia of Statistical Sciences, Second Edition, Vol. 12, 7907-7916 (N. Balakrishnan, C. B. Read and B. Vidakovic, Editors), Wiley, New York.
Burnham, K. P. and Overton, W. S. (1978). Estimaton of the size of a closed population when capture probabilities vary among naimals, Biometrika, 65, 625-633.
1 2 3 4 5 | # load the sample-base (incidence) data
data(Ant_data)
# Estimation of species richness
SpeciesIncidence(Ant_data, method = "all", k=10, conf=0.95)
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