batch.monepar: batch analysis to explore multiple species coexistence density for a varying parameter under multiple-species modeling

Description

The batch form of sta.comparison() function, therefore handling different scenarios simultaneously.

Usage

batch.monepar(coexistlist, coenum, island, spnum, parameters)

Arguments

coexistlist

a list of data generated by batch.mcoexistence() function

coenum

coexisting species number in a patch you want to explore across the scenarios. Should be >=2 and

island

number of patches in the modeling

spnum

number of species in the moeling

parameters

a parameter sampling point vector,for example parameters=c(.2,.5,.9), indicating three sampling points in a single parameter. The function will thus compare the coexistence patch numbers under the cases when the parameter (for example, growth rate for species 1)=0.2,0.5 and 0.9 respectively.

Value

will return a nested list, each list member is a list for one scneario, inside of which are the list members- matrices for each of possible parameters (for example, r1,r2,disp1,disp2,comp1,comp2,etc).

References

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.

Examples

Run this code

##---- 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 (coexistlist, coenum, island, spnum, parameters) 
{
    if (is.list(coexistlist)) {
        scenarionum <- length(coexistlist)
        pairlist <- list()
        length(pairlist) <- scenarionum
        for (i in 1:scenarionum) {
            pairlist[[i]] <- sta.mcomparison(coexistlist[[i]], 
                coenum, island, spnum, parameters = parameters)
        }
        return(pairlist)
    }
  }