rewireR: Rewire graph by randomly assigning new values for a given...
In GatesLab/evalClust: Random Perturbation of Count Matrices
Description
Usage
Arguments
Examples
Description
Randomly rewires graphs by altering a specific number of edges using Bernoulli
trials as described in "The weighted random graph model" by Garlaschelli,
New Journal of Physics, 11, (2009), 073005. Only undirected, weigghted count matrices
are considered here.
Usage
1
Arguments
sym.matrix
A symmetric, sparse count matrix object.
nperturb
The number of edges to randomly alter.
dist
Option to rewire in a manner that retains overall graph weight regardless of distribution of edge weights.
This option is invoked by putting any text into this field. Defaults to "NegBinom" for negative binomial.
Examples
1
rewireR(exampledata, nperturb=40, dist = "Normal")
GatesLab/evalClust documentation built on Nov. 17, 2019, 3:59 a.m.
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Description Usage Arguments Examples
Description
Randomly rewires graphs by altering a specific number of edges using Bernoulli trials as described in "The weighted random graph model" by Garlaschelli, New Journal of Physics, 11, (2009), 073005. Only undirected, weigghted count matrices are considered here.
Usage
1 |
Arguments
sym.matrix |
A symmetric, sparse count matrix object. |
nperturb |
The number of edges to randomly alter. |
dist |
Option to rewire in a manner that retains overall graph weight regardless of distribution of edge weights. This option is invoked by putting any text into this field. Defaults to "NegBinom" for negative binomial. |
Examples
1 | rewireR(exampledata, nperturb=40, dist = "Normal")
|
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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