| fisher.mincount {preseqR} | R Documentation |
The function estimates the expected number of species represented at least r times in a random sample based on the initial sample using a parametric approach by Fisher, R. A., et al. (1943).
fisher.mincount(n, r=1)
n |
A two-column matrix. The first column is the frequency j = 1,2,…; and the second column is n_j, the number of species with each species represented j times in the initial sample. The first column must be sorted in an ascending order. |
r |
A vector of positive integers. Default is 1. |
The constructed estimator for the number of species represneted at least r times in a sample. The input of the estimator is a vector of sampling efforts t, i.e. the relative sample sizes comparing with the initial sample. For example, t = 2 means the sample is twice the size of the initial sample.
Chao Deng
Fisher, R., Corbet, A., & Williams, C. (1943). The Relation Between the Number of Species and the Number of Individuals in a Random Sample of an Animal Population. Journal of Animal Ecology, 12(1), 42-58. doi:10.2307/1411
## load library library(preseqR) ## import data data(WillButterfly) ## construct the estimator for the number of species ## represented at least once, twice or three times in a sample fisher.estimator <- fisher.mincount(WillButterfly, r=1:3) ## The number of species represented at least once, twice or three times ## when the sample size is 10 times of the initial sample fisher.estimator(10)