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

Description Usage Arguments Value Author(s) Examples

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

1
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

1
generate.Guilds.Cond(theta=200,alpha_x = 0.005, alpha_y = 0.001,JX=15000,JY=5000);


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