bipartite (version 2.11)

r2dexternal: Generates null models for network analysis by considering external abundances

Description

An extension of r2dtable which rescales marginal totals according to independent data

Usage

r2dexternal(N, web, abun.higher=NULL, abun.lower=NULL)

Arguments

N

number of null models to be generated.

web

Web is a matrix representing the interactions observed between higher level species (columns) and lower level species (rows).

abun.higher

Optional vector of externally measured abundances of the higher level. If missing (NULL) it will be replaced by column totals.

abun.lower

Optional vector of externally measured abundances of the lower level. If missing (NULL) it will be replaced by row totals.

Value

Returns a list of N null model-generated networks. Species names are (obviously) dropped.

Details

The underlying function is r2dtable, which requires a vector of row and column totals, respectively. In function nullmodel, these marginal totals are computed from the observed interaction matrix. Here, external abundances can be provided. These will be rescaled and combined with the observed marginal total to construct new row and column vectors for r2dtable.

If neither row nor column abundances are provided this function will be identical to r2dtable.

See Also

nullmodel, vaznull, mgen, vegan::simulate and r2dtable

Examples

# NOT RUN {
	abun.lower <- c(15,5,2,7,4,8,6,0.01,6)
	 set.seed(2)
	(abun.higher <- rpois(27, lambda=4))
	abun.higher[1] <- 0.001
	sum(ext.polls)
	## note: external abundances do not sum up; this is intentional!!
	r2dexternal(2, Safariland, abun.higher=abun.higher, abun.lower=abun.lower)
	r2dexternal(2, Safariland, abun.higher=abun.higher)

	
# }