Summary for motif counts and Erdős-Rényi distribution

Source: R/count_motifs.R

Returns a data frame with counts and statistical properties (expectation, variances) of six selected motifs in the given network. Note that this function implicitly assumes that the network is undirected, cf. motifr::to_py_graph.

motif_summary(net, lvl_attr = c("sesType"))

Arguments

net

network object
lvl_attr

character vector specifying the attribute name where level information is stored in net.

Value

dataframe with motif counts, expectations and variances for set of selected motifs

Examples

# \dontrun{
motif_summary(ml_net)

#>        motif count  expectation     variance
#> 1   1,2[I.C]   543 169.14423077 949.77428949
#> 2  1,2[II.C]   167  16.96153846  25.69286965
#> 3   2,1[I.C]   217 109.90569527 437.59757816
#> 4  2,1[II.C]     7  10.23853550  13.91309018
#> 5 2,2[III.C]    73   0.44811771   0.52381527
#> 6 2,2[III.D]     1   0.04174551   0.04302532
# }