batch.mcoexistence: batch anlaysis of multiple coexistence summary tables, the...
In coexist: Species coexistence modeling and analysis

Description Usage Arguments Author(s) References See Also Examples

batch analysis of basic statistics for each of the output scenarios under multiple-species model as follows: number of parameter combination that lead to s1 species survive across the patches, while s2 species was extinct; number of parameter combination that lead to s2 species survive across the patches, while s1 species was extinct; number of parameter combination that lead to coexsistence of both both species across the patches; The other five parameters were "r1","r2","disp","comp1","comp2" respectively, representing the growth rates, patch connectivity, and competition ability of species 1 and 2.

1	batch.mcoexistence(out, island = 10, spnum = 2)

`out`
`island`	number of patches in the simulation, default is 10
`spnum`	number of species in the simulation (>=2), default is 2

Youhua Chen <yhchen@zoology.ubc.ca>

Chen YH (2012) coexist: an R package for performing species coexistence modeling and analysis under asymmetric dispersal and fluctuating source-sink dynamics. http://code.google.com/p/coexist.

sta.mcoexistence

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (out, island = island, spnum = 2) 
{
    colist <- list()
    scenarionum <- length(out)
    length(colist) <- scenarionum
    for (i in 1:scenarionum) {
        colist[[i]] <- sta.mcoexistence(out[[i]], island = island, 
            spnum = spnum)
    }
    return(colist)
  }