bootstrap {fossil} | R Documentation |
Computes the bootstrap species estimator for abundance or presence-absence data
bootstrap(x, taxa.row = TRUE, abund = TRUE, samples = NA)
x |
a vector, matrix or data frame of positive integers or zero of any size |
taxa.row |
whether each row of the matrix is a different taxon |
abund |
whether the input is abundance (or presence/absence) based |
samples |
if input is a vector file, the number of samples must be included |
These functions compute the Chao 1 and Chao 2 richness estimators, respectively.
Both functions will accept a vector, matrix or data frame of any size made up
of positive integers and zeros. Matrices are by default treated such that each
row is a different taxon and each column is a sample or locality, however if
they are arranged with the taxa as columns, change the argument
taxa.row
to FALSE. This funtion is currently under development, and may
change with the following release.
Returns a single value for the Bootstrap Species Estimator
Matthew Vavrek
Smith, E.P. & van Belle, G. 1984. Nonparametric estimation of species richness. Biometrics 40, 119-129.
## sample vector a<-c(0,5,1,1,2,0,0,1,0,0,8,45) bootstrap(a,samples=45) ## matrix format a<-matrix(c(0,5,1,1,2,0,0,1,0,0,8,45),4,3) bootstrap(a) bootstrap(a,,FALSE) ## presence absence matrix a<-matrix(c(0,1,1,1,1,0,0,1,0,0,1,1),4,3) bootstrap(a,,FALSE)