Description Usage Arguments Value

View source: R/trait_pop_sim.R

Function to generate a random carrying capacity landscape as a mix of super-gaussians

1 2 3 4 |

`u` |
Number of carrying capacity peaks to generate |

`h_mean` |
The mean height of the carrying capacity peaks |

`h_var` |
The variance in height of the peaks |

`bi_mean` |
The mean peak centre value for each of d dimensions; vector of length d |

`bi_var` |
The variance in peak centre values for each of d dimensions; vector of length d |

`h0` |
The maximum height of the carrying capacity on the landscape |

`sig0i` |
The width of the carrying capacity landscape, e.g. how far it extends before dropping off in each of d dimensions; vector of length d |

`P0i` |
Total super-gaussian parameter; determines how quickly or gradually the carrying capacity drops off near the landscape borders in each dimension. Higher values give more extreme drop-offs; vector of length d |

`sigi_mean` |
The mean width of peaks for each of d dimensions; vector of length d |

`sigi_var` |
The variance in peak widths for each of d dimensions; vector of length d |

`Pi_mean` |
The mean super-gaussian parameter of peaks for each of d dimensions; determines the sharpness of peak drop-off; vector of length d |

`a` |
Minimum values of carrying capacity within landscape limits |

`hz_min` |
Minimum height allowed for any peak |

List of parameter values that can be passed on to other functions such as
`K_func`

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.