Dear all, I would like to implement a null model to test if nestedness of a matrix departs from chance. There is an example in package "bipartite" with the function "nullmodel":
obs <- unlist(networklevel(web, index="weighted NODF")) nulls <- nullmodel(web, N=100, method=1) null <- unlist(sapply(nulls , networklevel, index="weighted NODF")) This works well, however, I have the impress that prior to apply the function "networklevel", the initial matrix is being reordered to achieve maximal packing. However, I don't want my matrix to be reordered, but I did not manage to find how to specify it. In the package vegan, there is the function nestednodf with the option "order=FALSE", but I could not implement a null model based on this function (because the output contain multiple attributes). Any help welcomed ___________________________________________________________ Quiz TV : Vous êtes fan de la série "Friends" ? 5 questions ici http://tv.voila.fr/quiz/quiz-special-friends_14538959.html _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
