| preseqR.interpolate.mincount {preseqR} | R Documentation |
Interpolating the expected number of species represented at least r times in a random sample based on an initial sample.
preseqR.interpolate.mincount(ss, n, r=1)
ss |
An positive double equal to the step size between samples. |
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 positive integer. |
Assume that a random sample (subsample) follows a multivariant hypergeometric distribution given an initial sample. The expected number of unique species represented at least r times in the subsample is then calculated by an expended version of the formula in Heck Jr, KL. et al. (1975).
A two-column matrix for the number of species represented at least r times in a random sample. The first column is the size of the random sample; the second column is the expected number of species represented at least r times in the sample.
NULL if failed.
Chao Deng
Heck Jr, K. L., van Belle, G., & Simberloff, D. (1975). Explicit calculation of the rarefaction diversity measurement and the determination of sufficient sample size. Ecology, 1459-1461.
## load library library(preseqR) ## import data data(ShakespeareWordHist) ## The expected number of species represented twice or more in a random sample ## The step size is 1e5; the initial sample is "ShakespeareWordHist" preseqR.interpolate.mincount(n=ShakespeareWordHist, ss=1e5, r=2)