generate.Guilds.Cond: Generate Artificial data under the GUILDS model, conditioned...

View source: R/generateData.R

generate.Guilds.CondR Documentation

Generate Artificial data under the GUILDS model, conditioned on Guild size

Description

Using this function it is possible to generate a community dataset consisting of two separate abundance vectors for each guild, where the data generated adhere to the Guilds model. Data generated is conditioned on guild size.

Usage

generate.Guilds.Cond(theta, alpha_x, alpha_y, JX, JY)

Arguments

theta

Fundamental Biodiversity Number theta

alpha_x

Dispersal Ability of Guild X

alpha_y

Dispersal Ability of Guild Y

JX

Total number of individuals in Guild X

JY

Total number of individuals in Guild Y

Value

guildX

Vector containing the unlabeled abundances of species in Guild X

guildY

Vector containing the unlabeled abundances of species in Guild Y

Author(s)

Thijs Janzen

Examples

generate.Guilds.Cond(theta = 200,
                     alpha_x = 0.005,
                     alpha_y = 0.001,
                     JX = 15000,
                     JY = 5000);

GUILDS documentation built on Aug. 21, 2023, 5:10 p.m.