randomGraph: Generate a Random Graph
In regrap: Reverse Graphical Approaches
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Generate a random graph from uniform distribution
Usage
1
randomGraph(n, seed = as.numeric(Sys.time()), wlim = c(0, 1), Glim = c(0, 1))
Arguments
n
an integer: number of vertices
seed
an integer: a seed for random number generator
wlim
a vector of two numbers: range of vertex weights
Glim
a vector of two numbers: range of transition weights
Value
A list of one vector for vertex weights and one matrix for transition weights
Author(s)
Jiangtao Gou
Fengqing Zhang
Examples
1
wG <- randomGraph(n=5)
regrap documentation built on July 8, 2020, 6:24 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Generate a random graph from uniform distribution
Usage
1 | randomGraph(n, seed = as.numeric(Sys.time()), wlim = c(0, 1), Glim = c(0, 1))
|
Arguments
n |
an integer: number of vertices |
seed |
an integer: a seed for random number generator |
wlim |
a vector of two numbers: range of vertex weights |
Glim |
a vector of two numbers: range of transition weights |
Value
A list of one vector for vertex weights and one matrix for transition weights
Author(s)
Jiangtao Gou
Fengqing Zhang
Examples
1 | wG <- randomGraph(n=5)
|
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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