evouniparam {adiv} | R Documentation |

Function `evouniparam`

calculates phylogenetic uniqueness in communities using parametric indices derived from Tsallis and Hill compositional indices. `evouniparam`

can also be applied to functional trees rather than phylogenies, to calculate a functional uniqueness.
The function `plot.evouniparam`

plots the results of function `evouniparam`

.

evouniparam(phyl, comm, method = c("hill", "tsallis", "renyi"), q = 2, tol = 1e-08) ## S3 method for class 'evouniparam' plot(x, legend = TRUE, legendposi = "topright", axisLABEL = "Tree-based uniqueness", type="b", col = if(is.numeric(x)) NULL else sample(colors(distinct = TRUE), nrow(x$uni)), lty = if(is.numeric(x)) NULL else rep(1, nrow(x$uni)), pch = if(is.numeric(x)) NULL else rep(19, nrow(x$uni)), ...)

`phyl` |
an object inheriting the class |

`comm` |
a data frame or a matrix typically with communities as rows, species as columns and abundance as entry. Species should be labeled as in the phylogenetic tree where they are the tips. |

`method` |
a string: either "hill" for the Hill numbers (Hill 1973), "tsallis" for the Tsallis or HCDT entropy (Harvda and Charvat 1967; Daroczy 1970; Tsallis 1988), or "renyi" for Renyi's entropy (Renyi 1960). If several values are given, only the first one is considered. See details. |

`q` |
a vector with nonnegative value(s) for parameter |

`tol` |
numeric tolerance threshold: values between - |

`x` |
an object of class |

`legend` |
a logical. If TRUE a legend is given with the colour, the type of line (etc.) used to define the uniqueness curve of each community. |

`legendposi` |
a string that gives the position of the legend to be passed to function |

`axisLABEL` |
a string to display on the main axis of the plot to designate what we are measuring. The default is |

`type` |
a string to be passed to the graphic argument |

`col` |
vector of colours to be passed to the graphic argument |

`lty` |
vector of type of line (plain, broken etc.) to be passed to the graphic argument |

`pch` |
type of point (open circle, close circle, square etc.) to be passed to the graphic argument |

`...` |
other arguments can be added and passed to the functions |

Function `evouniparam`

calculates feature uniqueness (features = branch units on a phylogenetic [or functional] tree) using parametric indices qfuniHCDT (with `method=tsallis`

), qfuniHill (with `method=hill`

), qfuniRenyi (with `method=renyi`

) developed in Pavoine and Ricotta (2019). Note that Pavoine and Ricotta (2019) recommend the use of index qfuniHill (with `method=hill`

).

If only one value of `q`

is given, the function `evouniparam`

returns a vector with the phylogenetic uniqueness of each community.
If more than one value of `q`

is given, a list of two objects is returned:

`q` |
the vector of values for |

`uni` |
a data frame with the phylogenetic uniqueness in each community calculated for all values of |

The function `plot.evouniparam`

returns a graphic.

Sandrine Pavoine sandrine.pavoine@mnhn.fr

The methodologies and scripts were developed by

Pavoine, S., Ricotta, C. (2019) A simple translation from indices of species diversity to indices of phylogenetic diversity. *Ecological Indicators*, **101**, 552–561.

using earlier work by:

Chao, A., Chiu, C.-H., Jost, L. (2010) Phylogenetic diversity measures based on Hill numbers. *Philosophical Transactions of the Royal Society London Series B*, **365**, 3599–3609.

Daroczy, Z. (1970) Generalized information functions. *Information and Control*, **16**, 36–51.

Havrda, M., Charvat F. (1967) Quantification method of classification processes: concept of structural alpha-
entropy. *Kybernetik*, **3**, 30–35.

Hill, M.O. (1973) Diversity and evenness: a unifying notation and its consequences. *Ecology*, **54**, 427–432.

Pavoine, S. (2016) A guide through a family of phylogenetic dissimilarity measures among sites. *Oikos*, **125**, 1719–1732.

Renyi, A. (1960) On measures of entropy and information. *Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability*, **1**, 547–561.

Tsallis, C. (1988) Possible generalization of Boltzmann-Gibbs statistics. *Journal of Statistical Physics*, **52**, 480–487.

## Not run: if(require(ape)){ data(batcomm) phy <- read.tree(text=batcomm$tre) ab <- batcomm$ab[, phy$tip.label] plot(evouniparam(phy, ab)) plot(evouniparam(phy, ab, q=seq(0, 10, length=20))) } ## End(Not run)

[Package *adiv* version 2.1.1 Index]