Description Usage Arguments Value See Also Examples
This function is similar to iNEXT's estimateD(). It allows interpolation and extrapolation of diversities (of order q) along coverage. It is much faster than estimateD() for individual point estimates and uses data inputs like vegan and mobr (i.e site by species matrix). It uses iNext's internal function invChat.Ind() to do the interpolation/ extrapolation. If no C is NULL, it will default to maximum recommendable sample coverage (using recommended_C()).
1 | rarefy_coverage(m, C = NULL, q = 0)
|
m |
site by species matrix or single vector |
C |
Numeric value between 0 and 1 specifying desired coverage level. |
q |
integer vector of diversity orders |
a vector if q is a single value; a matrix if q is a vector.
[recommended_C()], [C_max()]
1 2 3 | library(vegan)
data(BCI)
rarefy_coverage(BCI)
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