motif_summary: Summary for motif counts and Erdős-Rényi distribution
In marioangst/integrateR: Motif Analysis in Multi-Level Networks
Description
Usage
Arguments
Value
Examples
Description
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.
Usage
1
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
1
2
3
4
## Not run:
motif_summary(ml_net)
## End(Not run)
marioangst/integrateR documentation built on May 26, 2021, 4:47 a.m.
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Description Usage Arguments Value Examples
Description
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.
Usage
1 | 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 |
Value
dataframe with motif counts, expectations and variances for set of selected motifs
Examples
1 2 3 4 | ## Not run:
motif_summary(ml_net)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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