SC.link: Sample Completeness main function

In Chunger-Lo/iNEXT.link: Network diversity iNterpolation/Extrapolation Estimation

Description

SC.link Estimation of Sample Completeness with order q

Usage

SC.link(
  data,
  q = seq(0, 2, 0.2),
  datatype = "abundance",
  nboot = 30,
  conf = 0.95
)

Arguments

data	a matrix/data.frame/list/vector of abundances-based/incidences-based species data.
q	a integer vector for the order of Hill number
datatype	data type of input data: individual-based abundance data (datatype = "abundance") or species by sampling-units incidence matrix (datatype = "incidence_raw").#'
nboot	a positive integer specifying the number of bootstrap replications when assessing sampling uncertainty and constructing confidence intervals. Enter 0 to skip the bootstrap procedures. Default is 50
conf	positive number < 1 specifying the level of confidence interval, default is 0.95.

Value

a matrix of estimated sample completeness with order q:

References

Chao,A.,Y.Kubota,D.Zelený,C.-H.Chiu. Quantifying sample completeness and comparing diversities among assemblages.

Examples

data(Norfolk)
output = SC.link(Norfolk)
ggSC.link(output)

Chunger-Lo/iNEXT.link documentation built on Dec. 17, 2021, 2:05 p.m.