estimate.time: The estimate.time() function figures out, given a specified...
In csqsiew/samr: Spreading Activation Machine in R
Description
Usage
Arguments
Value
Examples
View source: R/estimate.time.R
Description
The estimate.time() function figures out, given a specified decay rate, the number of time steps
required for total activation in the network to decrease to a specified proportion of its value at
t = 0.
Usage
1
estimate.time(decay, final_proportion)
Arguments
decay
Proportion of activation that is lost at each time step, ranges from 0 to 1.
final_proportion
Proportion of initial total activation at t = 0 that is left at the end of the simulation
Value
An integer, # of timesteps to be used in simulation
Examples
1
# estimate.time(0.2, 0.1) # 10
csqsiew/samr documentation built on May 28, 2019, 7:49 p.m.
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Description Usage Arguments Value Examples
View source: R/estimate.time.R
Description
The estimate.time() function figures out, given a specified decay rate, the number of time steps required for total activation in the network to decrease to a specified proportion of its value at t = 0.
Usage
1 | estimate.time(decay, final_proportion)
|
Arguments
decay |
Proportion of activation that is lost at each time step, ranges from 0 to 1. |
final_proportion |
Proportion of initial total activation at t = 0 that is left at the end of the simulation |
Value
An integer, # of timesteps to be used in simulation
Examples
1 | # estimate.time(0.2, 0.1) # 10
|
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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