Step1_Empirical_Parameterization: Step 1: Generate and/or parameterize Lotka-Volterra...

In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates

Description

Generates parameterized networks and abundance data that can be simulated in Step 2.

Usage

Step1_Empirical_Parameterization(web, foldname = web, path = "Data",
  nruns = 30, Immigration = TRUE, seed = NULL)

Arguments

web	empirical network name ("caricaie", "otago", "serengeti", "sylt", "ythan", "flensburg", "reef", "stmarks", or "tatoosh")
foldname	Folder name where matrices and abundance vectors should be written
path	Path where data are kept. 'foldname' will be created as a folder here if it does not already exist
nruns	Number of parameterizations to be generated.
Immigration	flag marking whether to generate networks under an immigration model or closed model. Defaults to TRUE.
seed	Random seed for reproducibility

Value

This function does not return an object, but it writes parameterized matrices (with file names ending in '-mat.txt') and vectors of equilibrium abundances (with file names ending in '-pop.txt') to the folder path/foldname.

esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.