Description Usage Arguments Details Value Author(s) References See Also Examples
Creates a summary table of community overlap for all possible pairwise combinations of samples (e.g. sites, plots) using the similarity
function.
1 |
abundances |
Community data as a matrix where columns are individual species and rows are sites. Matrix elements are abundance data (e.g. counts, percent cover estimates). May be given as a vector with abundances2 as a vector for a second community. |
abundances2 |
Community data, a vector of different species within a site. Vector elements are abundance data (e.g. counts, percent cover estimates). If abundances is given a matrix, then abundances2 defaults to a logical FALSE statement. |
q |
Order of the diversity measure. Defaults to the Shannon case where q = 1. |
boot |
Logical indicating whether to use bootstrapping to estimate uncertainty. |
boot.arg |
(optional) List of arguments to pass bootstrapping function: list(s.sizes=number you specify, num.iter=number you specify) |
This function calculates pairwise similarity for two or more samples, so the abundance data must be a matrix with two or more rows (samples). Depending on the specification of the order (q), other different similarity indices may be calculated (e.g. Sorenson index when q=0, Horn index when q=1, Morisita-Horn index when q=2) (Jost 2007).
Similarity |
A matrix of pairwise similarities showing community overlap calculated using the similarity function. |
StdErr |
(optional) Standard error of value estimated through bootstrapping. |
Noah Charney, Sydne Record
Jost, L. 2007. Partitioning diversity into independent alpha and beta components. Ecology 88(10): 2427-2439.
sim.table
, sim.groups
, bootstrap
1 2 3 4 5 6 7 | data(simesants)
hemlock<-subset(simesants,Habitat=="Hemlock")[,-1]
hardwood<-subset(simesants,Habitat=="Hardwood")[,-1]
similarity(rbind(hemlock,hardwood))
similarity(hemlock,abundances2=hardwood)
similarity(hemlock,abundances2=hardwood,boot=TRUE)
similarity(hemlock,abundances2=hardwood,q=2,boot=TRUE,boot.arg=list(num.iter=200))
|
[1] 0.8847291
[1] 0.8847291
$Simlarity
[1] 0.8847291
$StdErr
[1] 0.02305693
$Simlarity
[1] 0.9478082
$StdErr
[1] 0.01632159
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.