TsallisBeta {entropart} | R Documentation |

Calculates the Tsallis beta entropy of order `q`

of a community belonging to a metacommunity.

```
TsallisBeta(NorP, NorPexp = NULL, q = 1, ...)
bcTsallisBeta(Ns, Nexp = NULL, q, Correction = "Best", CheckArguments = TRUE)
## S3 method for class 'ProbaVector'
TsallisBeta(NorP, NorPexp = NULL, q = 1, ...,
CheckArguments = TRUE, Ps = NULL, Pexp = NULL)
## S3 method for class 'AbdVector'
TsallisBeta(NorP, NorPexp = NULL, q = 1, Correction = "Best", ...,
CheckArguments = TRUE, Ns = NULL, Nexp = NULL)
## S3 method for class 'integer'
TsallisBeta(NorP, NorPexp = NULL, q = 1, Correction = "Best", ...,
CheckArguments = TRUE, Ns = NULL, Nexp = NULL)
## S3 method for class 'numeric'
TsallisBeta(NorP, NorPexp = NULL, q = 1, Correction = "Best", ...,
CheckArguments = TRUE, Ps = NULL, Ns = NULL, Pexp = NULL, Nexp = NULL)
```

`Ps` |
The probability vector of species of the community. |

`Pexp` |
The probability vector of species of the metacommunity. |

`Ns` |
A numeric vector containing species abundances of the community. |

`Nexp` |
A numeric vector containing species abundances of the metacommunity. |

`NorP` |
A numeric vector, an integer vector, an abundance vector ( |

`NorPexp` |
A numeric vector, an integer vector, an abundance vector ( |

`q` |
A number: the order of entropy. Default is 1 for Shannon entropy. |

`Correction` |
A string containing one of the possible corrections: currently, only |

`...` |
Additional arguments. Unused. |

`CheckArguments` |
Logical; if |

The derivation of Tsallis beta entropy can be found in Marcon et al. (2014).

Bias correction requires the number of individuals to estimate sample `Coverage`

. Use `bcTsallisBeta`

and choose the `Correction`

.

Note that beta entropy value is related to alpha entropy (if `q`

is not 1) and cannot be compared accross communities (Jost, 2007). Beta entropy of a community is not meaningful in general, do rather calculate the `BetaDiversity`

of the metacommunity.

The functions are designed to be used as simply as possible. `TsallisBeta`

is a generic method. If its first argument is an abundance vector, an integer vector or a numeric vector which does not sum to 1, the bias corrected function `bcTsallisBeta`

is called. Explicit calls to `bcTsallisBeta`

(with bias correction) or to `TsallisBeta.ProbaVector`

(without correction) are possible to avoid ambiguity. The `.integer`

and `.numeric`

methods accept `Ps`

or `Ns`

arguments instead of `NorP`

for backward compatibility.

A named number equal to the calculated entropy. The name is that of the bias correction used.

Jost (2007), Partitioning diversity into independent alpha and beta components. *Ecology* 88(10): 2427-2439.

Marcon, E., Scotti, I., Herault, B., Rossi, V. and Lang, G. (2014). Generalization of the partitioning of Shannon diversity. *PLOS One* 9(3): e90289.

```
# Load Paracou data (number of trees per species in two 1-ha plot of a tropical forest)
data(Paracou618)
# Ps is the vector of probabilities
Ps <- Paracou618.MC$Ps
# Probability distribution of the first plot
Ps1 <- Paracou618.MC$Psi[, 1]
# Divergence of order 2 between plot 1 and the whole forest
TsallisBeta(Ps1, Ps, 2)
# Ns is the vector of abundances of the metacommunity
Ns <- Paracou618.MC$Ns
# Abundances in the first plot
Ns1 <- Paracou618.MC$Nsi[, 1]
# Divergence of order 2 between plot 1 and the whole forest, with bias correction
bcTsallisBeta(Ns1, Ns, 2)
```

[Package *entropart* version 1.6-10 Index]