List2DF: Convert bipartite-style list of matrices to dataframe
In bipartiteD3: Interactive Bipartite Graphs

Description Usage Arguments Details Value Examples

View source: R/List2DF.R

List2DF returns a data frame in the format internally required for bipartiteD3 where the first two columns list the interacting species, and subsequent columns list the link strengths in each site.

List2DF(
  List,
  PrimaryLab = "Primary",
  SecondaryLab = "Secondary",
  SiteNames = NULL
)

`List`	An list of bipartite format matrices
`PrimaryLab`	Label for the primary level of the bipartite web, e.g. 'Plants'
`SecondaryLab`	Label for the secondary level of the bipartite web, e.g. 'Pollinators'
`SiteNames`	Vector of names for the different sites (list elements). By default takes names of input matrices if they exist.

List2DF expects an list of multiple bipartite webs as may be created by the frame2webs(type.out='list') function in bipartite. This structure includes row and column names to indicate the species, and a named third dimension giving the names of each of the sites

Note a list of this format can be passed directly to bipartite_D3 since it will test for an list and apply List2DF() anyway.

A data.frame where the first column is the primary interactor, the second the secondary interactor and subsequent named columns detail the link strengths

## Not run:  testdata <- data.frame(higher = c("bee1","bee1","bee1","bee2","bee1","bee3"),
lower = c("plant1","plant2","plant1","plant2","plant3","plant4"),
webID = c("meadow","meadow","meadow","meadow","bog","bog"), freq=c(5,9,1,2,3,7))
bipartite::frame2webs(testdata, type.out = 'list')-> SmallTestWeb

List2DF(SmallTestWeb)

## End(Not run)