tes {rarestR}R Documentation

Calculation of Total Expected Species base on ESa, ESb and their average value

Description

Calculation of Total Expected Species base on ESa, ESb and their average value

Usage

tes(x)

Arguments

x

a data vector representing number of individuals for each species

Details

The value returned by the tes() function in the 'rarestr' class is a list containing three parts:

par

A data frame of the summary of the estimated values and their standard deviations based on TESa, TESb, and TESab, and the model used in the estimation of TES, either 'logistic' or 'Weibull'.

TESa

A list of the modeled results with the TESa method.

TESb

A list of the modeled results with the TESb method.

Both TESa and TESb contain five parts, including a data frame of the parameters ($par), a data frame of the simulated results ($result), a maximum x value ($xmax), a vector of the predicted x value ($Predx), and a vector of the predicted y value ($Predy)

Value

a list in a self-defined class 'rarestr'. See "Details".

References

Zou Y, Zhao P, Wu N, Lai J, Peres-Neto PR, Axmacher JC (2025). “rarestR: An R Package Using Rarefaction Metrics to Estimate \alpha-and \beta-Diversity for Incomplete Samples.” Diversity and Distributions, 31(1), e13954. doi:10.1111/ddi.13954.

Examples

data(share, package = 'rarestR')
Output_tes <- tes(share[1,])
Output_tes

[Package rarestR version 1.1.1 Index]