generate.Guilds {GUILDS}

Generate Artificial data under the GUILDS model

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.

Usage

generate.Guilds(theta, alpha_x, alpha_y, J)

Arguments

theta

Fundamental Biodiversity Number theta

alpha_x

Dispersal Ability of Guild X

alpha_y

Dispersal Ability of Guild Y

J

Total number of individuals in the local community (e.g. J_X + J_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(theta = 200,
                alpha_x = 0.005,
                alpha_y = 0.001,
                J = 10000)