Dear R users,

I used to be able to use the package bipartite to calculate network metrics
using the function networklevel, but now (with the new version 1.14) I keep
getting the error messages below. I don't understand why I am getting these
error messages given that colSums is not < 2, and the network isn't that
small. I get the same error message ("Web is really too small...") even with
larger webs. I also switched to a Mac recently.

>
Error in colSums(web) : 'x' must be an array of at least two dimensions
In addition: Warning message:
In networklevel(m, index = c("nestedness", "connectance", "links per
species",  :
 Web is really too small to calculate any reasonable index. You will get the
values nonetheless, but I wouldn't put any faith in them!

The web I used is:

>m
     [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,]    7    6    2    2    8    2    5    2   17     8     0     1     3
[2,]    2    1    6    2    1    0    3    2    5     4     0     1     4
[3,]    0    0    0    0    0    0    0    0    0     0     0     0     0
[4,]    3    7    5   11    2    2    6    2   18     8     0     2     4
[5,]    0    0    0    4    2    0    1    1    1     3     0     2     0
[6,]    3    3    0    3    1    1    1    2    8     5     0     0     3
[7,]    0    0    1    0    1    0    0    0    4     1     0     1     1
[8,]    2    0    2    1    1    0    1    0    2     2     0     1     2
[9,]    1    1    0    1    0    1    0    0    6     2     0     1     1
[10,]    2    2    4    7    4    4    3    1   11     8     0     1     2
     [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
[1,]     4     0     3     0     2     1     2     9     5    12     8    17
[2,]     4     0     0     0     4     1     2     0     3     4     3     1
[3,]     0     0     0     0     0     0     0     0     0     0     0     0
[4,]     5     0     3     0     1     3     3     8     9    10     4    10
[5,]     1     0     0     0     0     2     0     3     0     1     2     2
[6,]     0     0     1     0     1     1     1     4     1     2     4     5
[7,]     1     0     0     0     0     0     0     2     1     3     4     3
[8,]     0     0     0     0     0     0     0     1     0     0     5     2
[9,]     2     0     1     0     1     0     0     1     0     3     1     4
[10,]     3     0     2     0     1     2     2     3     1     6     0
7
     [,26] [,27] [,28] [,29] [,30]
[1,]     5     1     3     4     3
[2,]     0     1     1     1     1
[3,]     0     0     0     0     0
[4,]     2     2     2     5     5
[5,]     0     1     1     0     1
[6,]     1     0     2     3     1
[7,]     1     1     0     1     2
[8,]     0     1     0     4     1
[9,]     0     0     1     0     0
[10,]     1     3     0     2     3

Sincerely,

Scott Chamberlain
Rice University, EEB Dept.

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