Step2_Discrete_LV: Step 2: Simulate dynamics using discrete-time Lotka-Volterra
In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates
Description
Usage
Arguments
Value
Description
Takes network parameterizations created in Step 1 and simulates community
dynamics using a discrete-time Lotka-Volterra. Transforms variables for
use in hierarchical model (Step 3).
Usage
1
Step2_Discrete_LV(path, seed = NULL)
Arguments
path
path to folder where '-mat.txt' and '-pop.txt' files were
generated in Step 1.
seed
random seed, for reproducibility
Value
Returns the csv file name where results are stored. This file name
can then be passed to Step 3. This results file is appended to file
as the simulations are completed.
esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.
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Description Usage Arguments Value
Description
Takes network parameterizations created in Step 1 and simulates community dynamics using a discrete-time Lotka-Volterra. Transforms variables for use in hierarchical model (Step 3).
Usage
1 | Step2_Discrete_LV(path, seed = NULL)
|
Arguments
path |
path to folder where '-mat.txt' and '-pop.txt' files were generated in Step 1. |
seed |
random seed, for reproducibility |
Value
Returns the csv file name where results are stored. This file name can then be passed to Step 3. This results file is appended to file as the simulations are completed.
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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