R: Generate Artificial data under the GUILDS model, conditioned...

generate.Guilds.Cond {GUILDS} | R 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);

[Package GUILDS version 1.3 Index]