sipd: Generic method to obtain the species-level individual power...
In meteR: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

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

Extract species level individual power distribution from ESF object and return object inheriting from meteDist. This distribution (Theta) describes the distribution of metabolic rates across the individuals of a species with n individuls

sipd(x, ...)

## S3 method for class 'meteESF'
sipd(x, sppID, n, ...)

`x`	An object of class meteESF (i.e. the fitted distribution R(n,e))
`...`	arguments to be passed to methods
`sppID`	the name or index of the species of interest as listed in the `spp` argument passed to `meteESF`
`n`	integer. Alternatively can extract METE prediction by indicating number of individuals in the species

If n is provided then only the theoretical prediction is returned (because data from multiple species could map to the same n). Thus if data and prediction are desired use sppID.

An object of class meteDist. The object contains a list with the following elements.

data: The data used to construct the prediction
d: density funciton
p: cumulative density function
q: quantile funtion
r: random number generator
La: Vector of Lagrange multipliers
state.var: State variables used to constrain entropy maximization
type: Specifies the type of distribution is 'sad'

Andy Rominger <ajrominger@gmail.com>, Cory Merow

Harte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.

sad.meteESF, ipd.meteESF, metePsi

Other Theta: meteTheta

data(arth)
esf1 <- meteESF(spp=arth$spp,
                abund=arth$count,
                power=arth$mass^(.75),
                minE=min(arth$mass^(.75)))
sipd1 <- sipd(esf1, sppID=5)
sipd1