count_motifs: Count multi-level motifs

In motifr: Motif Analysis in Multi-Level Networks

Description

Count multi-level motifs

Usage

count_motifs(
  net,
  motifs,
  lvl_attr = c("sesType"),
  assume_sparse = TRUE,
  omit_total_result = TRUE,
  directed = NULL
)

Arguments

net	A network object with a node attribute specifying the level of each node
motifs	a list of motif identifiers which shall be counted, e.g. list("1,2[I.C]")
lvl_attr	character vector specifying the vertex attribute name where level information is stored in net
assume_sparse	whether the network shall be assumed to be sparse (for optimization), default TRUE
omit_total_result	whether total results shall be omitted, default FALSE
directed	whether the graph shall be treated as a directed graph. Per default (NULL), this is determined automatically using the structure of the provided network object

Value

data frame with a column containing motif identifier strings and one column containing motif counts

Examples

## Not run: 
count_motifs(ml_net,
  lvl_attr = c("sesType"),
  motifs = list("1,2[I.C]", "1,2[II.C]", "2,1[I.C]", "2,1[II.C]"),
  directed = FALSE
)

## End(Not run)

motifr documentation built on Dec. 15, 2020, 5:23 p.m.