betapart.core {betapart} | R Documentation |

## Core calculations of betapart

### Description

Computes the basic quantities needed for computing the multiple-site beta diversity measures and pairwise dissimilarity matrices.

### Usage

```
betapart.core(x)
```

### Arguments

`x` |
data frame, where rows are sites and columns are species |

### Value

The function returns an object of class `betapart`

with the following elements:

`sumSi` |
the sum of the species richness values of all sites |

`St` |
the total richness in the dataset |

`a` |
the multiple-site analog of the shared species term |

`shared` |
a matrix containing the number of species shared between pairs of sites |

`not.shared` |
a matrix containing the number of species not shared between pairs of sites: b, c |

`sum.not.shared` |
a matrix containing the total number of species not shared between pairs of sites: b+c |

`max.not.shared` |
a matrix containing the total maximum number of species not shared between pairs of sites: max(b,c) |

`min.not.shared` |
a matrix containing the total minimum number of species not shared between pairs of sites: min(b,c) |

### Author(s)

AndrĂ©s Baselga and David Orme

### References

Baselga, A. 2010. Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography 19:134-143

Baselga, A. 2012. The relationship between species replacement, dissimilarity derived from nestedness, and nestedness. Global Ecology and Biogeography 21, 1223-1232

### See Also

`beta.multi`

, `beta.pair`

, `beta.sample`

, `beta.temp`

,

### Examples

```
data(ceram.s)
ceram.core.s<-betapart.core(ceram.s)
ceram.dist.jac<-beta.pair(ceram.core.s, index.family="jac")
ceram.dist.sor<-beta.pair(ceram.core.s, index.family="sor")
ceram.multi.jac<-beta.multi(ceram.core.s, index.family="jac")
ceram.multi.sor<-beta.multi(ceram.core.s, index.family="sor")
```

*betapart*version 1.6 Index]