Is there any difference

null.list = vegan::nullmodel(web,method = "swap_count")  %>% simulate(nsim = 50) 

null.list = bipartite::nullmodel(web,method = "swap.web",N = 50)

Its much faster with the first function and is there any difference between their results?

Here is my web

> head(D_K.int.el)
              209.009185 213.0404912 224.1009612 236.0962499 236.1054269
D_157.0506252       7108        6334           0        4651       -3647
D_165.0193935       5726        6373           0        4453       -3773
D_170.1020846          0           0           0           0           0
D_170.5990132          0           0           0       -4228           0
D_170.8333593          0        3369        3895        5402       -5378
> dim(D_K.int.el)
[1] 200 200

I like to use waldo::compare() to look for differences between objects

Thanks for your answering´╝ü
And I have figured it out, the second function is better for me !

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