Description Usage Arguments Value Examples
Get association matrix
1 2 | ## S3 method for class 'network_module'
get_association_matrix(x, tol = 10^-13, ...)
|
x |
Either a 'network', 'network_module', or 'matrix' object. |
tol |
A small tolerance threshold; any entry that is within |
... |
Additional arguments. |
An association matrix with entry ij != 0 if node i and j are connected, and 0 otherwise. The diagonal entries are all zero.
1 2 3 4 5 6 7 | # Create a random network with 10 nodes and add random edge weights.
nw <- random_network(10)
nw <- gen_partial_correlations(nw)
# Get adjacency matrix for the network or individual modules in the network.
get_association_matrix(nw)
module <- nw$modules[[1]]
get_association_matrix(module)
|
1 2 3 4 5 6
[1,] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
[2,] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
[3,] 0.0000000 0.0000000 0.0000000 0.3669184 0.3972928 0.2677742
[4,] 0.0000000 0.0000000 0.3669184 0.0000000 0.0000000 0.0000000
[5,] 0.0000000 0.0000000 0.3972928 0.0000000 0.0000000 0.0000000
[6,] 0.0000000 0.0000000 0.2677742 0.0000000 0.0000000 0.0000000
[7,] -0.3419121 0.0000000 0.4454483 0.0000000 0.0000000 0.4491131
[8,] 0.0000000 0.3014140 0.0000000 0.0000000 -0.5090547 -0.3527970
[9,] 0.2879340 0.3940522 0.0000000 -0.2794462 0.0000000 0.0000000
[10,] 0.4582986 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
7 8 9 10
[1,] -0.3419121 0.0000000 0.2879340 0.4582986
[2,] 0.0000000 0.3014140 0.3940522 0.0000000
[3,] 0.4454483 0.0000000 0.0000000 0.0000000
[4,] 0.0000000 0.0000000 -0.2794462 0.0000000
[5,] 0.0000000 -0.5090547 0.0000000 0.0000000
[6,] 0.4491131 -0.3527970 0.0000000 0.0000000
[7,] 0.0000000 0.3223657 0.0000000 0.3961943
[8,] 0.3223657 0.0000000 0.0000000 0.0000000
[9,] 0.0000000 0.0000000 0.0000000 0.0000000
[10,] 0.3961943 0.0000000 0.0000000 0.0000000
1 2 3 4 5 6
[1,] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
[2,] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
[3,] 0.0000000 0.0000000 0.0000000 0.3669184 0.3972928 0.2677742
[4,] 0.0000000 0.0000000 0.3669184 0.0000000 0.0000000 0.0000000
[5,] 0.0000000 0.0000000 0.3972928 0.0000000 0.0000000 0.0000000
[6,] 0.0000000 0.0000000 0.2677742 0.0000000 0.0000000 0.0000000
[7,] -0.3419121 0.0000000 0.4454483 0.0000000 0.0000000 0.4491131
[8,] 0.0000000 0.3014140 0.0000000 0.0000000 -0.5090547 -0.3527970
[9,] 0.2879340 0.3940522 0.0000000 -0.2794462 0.0000000 0.0000000
[10,] 0.4582986 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
7 8 9 10
[1,] -0.3419121 0.0000000 0.2879340 0.4582986
[2,] 0.0000000 0.3014140 0.3940522 0.0000000
[3,] 0.4454483 0.0000000 0.0000000 0.0000000
[4,] 0.0000000 0.0000000 -0.2794462 0.0000000
[5,] 0.0000000 -0.5090547 0.0000000 0.0000000
[6,] 0.4491131 -0.3527970 0.0000000 0.0000000
[7,] 0.0000000 0.3223657 0.0000000 0.3961943
[8,] 0.3223657 0.0000000 0.0000000 0.0000000
[9,] 0.0000000 0.0000000 0.0000000 0.0000000
[10,] 0.3961943 0.0000000 0.0000000 0.0000000
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