R: Generate Artificial data under the GUILDS model

generate.Guilds {GUILDS} | R Documentation

## 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)

[Package GUILDS version 1.4.4 Index]