batch.paircomp: batch analysis to explore coexistence density for handling...
In coexist: Species coexistence modeling and analysis

Description Usage Arguments Author(s) References See Also Examples

batch version for sta.paircomparison() function

1	batch.paircomp(coexistlist, parnum, parameters)

`coexistlist`	list of data generated by batch.coexistence() function
`parnum`	number of parameters you want to choose and compare pairwisely in the model, should be less than the total number of parameters i.e.,, for two species model<=7.
`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 each of the pairwise parameters (for example, growth rate and the competition ability of a species)=0.2,0.5 and 0.9 respectively.

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.

batch.coexistence, sta.paircomparison

##---- 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, parnum = parnum, parameters = parspace) 
{
    scenarionum <- length(coexistlist)
    pairlist <- list()
    length(pairlist) <- scenarionum
    for (i in 1:scenarionum) {
        pairlist[[i]] <- sta.paircomparison(coexistlist[[i]], 
            parnum = parnum, parameters = parameters)
    }
    return(pairlist)
  }