generateState: Generate a specific initial-state.
In csclab/RMut: RMut: a collective framework for mutations analysis in network dynamics
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Generate a specific initial-state for a network.
Usage
1
generateState(network, state)
Arguments
network
The network used for the generation
state
A binary string with one entry for each node of the network in alphabetical order
Details
This function generates a specific initial-state for a network.
The initial-state would be used to analyze the dynamics of the examined network,
for ex., calculating sensitivity or searching attractors.
Value
An identifier for accessing the generated initial-state. The identifier would be used as a parameter of the functions of calculating sensitivity and finding attractors.
See Also
calSensitivity, findAttractors
Examples
1
2
3
data(amrn)
state1 <- generateState(amrn, "1010101111")
print(state1)
csclab/RMut documentation built on May 14, 2019, 12:07 p.m.
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Description Usage Arguments Details Value See Also Examples
Description
Generate a specific initial-state for a network.
Usage
1 | generateState(network, state)
|
Arguments
network |
The network used for the generation |
state |
A binary string with one entry for each node of the network in alphabetical order |
Details
This function generates a specific initial-state for a network. The initial-state would be used to analyze the dynamics of the examined network, for ex., calculating sensitivity or searching attractors.
Value
An identifier for accessing the generated initial-state. The identifier would be used as a parameter of the functions of calculating sensitivity and finding attractors.
See Also
calSensitivity, findAttractors
Examples
1 2 3 | data(amrn)
state1 <- generateState(amrn, "1010101111")
print(state1)
|
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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