Graphical assessment of the stability of selected variables

This function is based on the visweb function from the bipartite package.

signpred2(
  matbin,
  pred.lablength = max(sapply(rownames(matbin), nchar)),
  labsize = 1,
  plotsize = 12
)

Arguments

matbin: Matrix with 0 or 1 entries. Each row per predictor and a column for every model. 0 means the predictor is not significant in the model and 1 that, on the contrary, it is significant.
pred.lablength: Maximum length of the predictors labels. Defaults to full label length.
labsize: Size of the predictors labels.
plotsize: Global size of the graph.

Value

A plot window.

References

Vazquez, P.D., Chacoff, N.,P. and Cagnolo, L. (2009) Evaluating multiple determinants of the structure of plant-animal mutualistic networks. Ecology, 90:2039-2046.

Author

Bernd Gruber with minor modifications from Frédéric Bertrand
frederic.bertrand@math.unistra.fr
https://fbertran.github.io/homepage/

Examples

set.seed(314)
simbin <- matrix(rbinom(200,3,.2),nrow=20,ncol=10)
signpred2(simbin)
#> Warning: Defined colors not of equal length to number of levels of interactions