Description Usage Arguments Value Author(s) References See Also Examples

View source: R/discovery.curve.R

Calculate the components of a species discovery curve.

1 2 | ```
discovery.curve(f, f0.func, max.x = sum(f * 1:length(f)), n.pts = 100,
ci = 0.95, ...)
``` |

`f` |
a vector of species frequencies where |

`f0.func` |
function to use to calculate |

`max.x` |
the maximum number of samples to calculate the curve for.
Defaults to the sample size of |

`n.pts` |
number of points between 0 and |

`ci` |
size of the confidence interval (0.5:1). |

`...` |
other arguments to |

a list with:

`f.stats` |
a named vector from |

`s.ind` |
a |

`s.ind.ci` |
a |

`ci.poly` |
a |

`rarefact.line` |
a |

`extrap.line` |
a |

Eric Archer [email protected]

Colwell, R.K., A. Chao, N.J. Gotelli, S.-Y. Lin, C.X. Mao, R.L. Chazdon, and J.T. Longino. 2012. Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages. Journal of Plant Ecology 5(1):3-21.

1 2 3 4 | ```
data(osa.old.growth)
f <- expand.freqs(osa.old.growth)
d <- discovery.curve(f, f0.func = Chao1, max.x = 1200)
plot(d)
``` |

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