generateRule: Generate a default set of update-rules.
In csclab/RMut: RMut: a collective framework for mutations analysis in network dynamics
Description
Usage
Arguments
Details
Value
See Also
Examples
Description
Generate a default set of update-rules for a network.
Usage
1
generateRule(network, ruleType = 0L)
Arguments
network
The network used for the generation
ruleType
Type of random update-rules, default is 0
Details
This function generates a default set of update-rules for a network.
The rules would be used to analyze the dynamics of the examined network, for ex., calculating sensitivity, searching attractors.
The type of random update-rules can be specified by the parameter ruleType:
0 means only Conjunction rules, 1 means only Disjunction rules and 2 means random Nested Canalyzing rules.
Value
The string "ok" if success, otherwise NULL object
See Also
findAttractors, perturb, restore
Examples
1
2
3
4
5
6
7
8
9
data(amrn)
# Generate a set of random Nested Canalyzing rules
generateRule(amrn, 2)
# Generate a specific initial-state for the AMRN network
state1 <- generateState(amrn, "1110011011")
att <- findAttractors(amrn, state1)
print(att)
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 default set of update-rules for a network.
Usage
1 | generateRule(network, ruleType = 0L)
|
Arguments
network |
The network used for the generation |
ruleType |
Type of random update-rules, default is 0 |
Details
This function generates a default set of update-rules for a network.
The rules would be used to analyze the dynamics of the examined network, for ex., calculating sensitivity, searching attractors.
The type of random update-rules can be specified by the parameter ruleType:
0 means only Conjunction rules, 1 means only Disjunction rules and 2 means random Nested Canalyzing rules.
Value
The string "ok" if success, otherwise NULL object
See Also
findAttractors, perturb, restore
Examples
1 2 3 4 5 6 7 8 9 | data(amrn)
# Generate a set of random Nested Canalyzing rules
generateRule(amrn, 2)
# Generate a specific initial-state for the AMRN network
state1 <- generateState(amrn, "1110011011")
att <- findAttractors(amrn, state1)
print(att)
|
R Package Documentation
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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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