Learn R Programming

coexist (version 1.0)

batch.paircomp: batch analysis to explore coexistence density for handling different model scenarios for two focused parameters,for 2-species model

Description

batch version for sta.paircomparison() function

Usage

batch.paircomp(coexistlist, parnum, parameters)

Arguments

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
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.

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.

See Also

batch.coexistence, sta.paircomparison

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, 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)
  }

Run the code above in your browser using DataLab