ind_rare_perm

the number of permutations to average across, defaults to 100

n_perm

the number of individuals to evaluate the rarefaction curve
at. The default behavior is to evaluate it on a log2 interval from 1 to N

n_indiv

An internal function that can provide an independent derivation of 
the individual rarefaction curve for the purposes of testing the 
performance of the function <code>rarefaction</code>

internal

Functions for calculating metrics for the measurement biodiversity
and its changes across scales, treatments, and gradients. The methods
implemented in this package are described in:
Chase, J.M., et al. (2018) <doi:10.1111/ele.13151>,
McGlinn, D.J., et al. (2019) <doi:10.1111/2041-210X.13102>, and
McGlinn, D.J., et al. (2021) <doi:10.1002/ecy.3233>.

Daniel McGlinn

mobr

Measurement of Biodiversity

Xiao Xiao

Brian McGill

Felix May

Thore Engel

Caroline Oliver

Shane Blowes

Tiffany Knight

Oliver Purschke

Nicholas Gotelli

Jon Chase

ind_rare_perm function

<dl><dt>abu</dt>
<dd>a vector of species abundances</dd>
<dt>n_perm</dt>
<dd>the number of permutations to average across, defaults to 100</dd>
<dt>n_indiv</dt>
<dd>the number of individuals to evaluate the rarefaction curve
at. The default behavior is to evaluate it on a log2 interval from 1 to N</dd></dl>

Arguments

Compute permutation derived individual-based rarefaction curves — ind_rare_perm

<dl>

<dt>abu</dt>
<dd>a vector of species abundances</dd>


<dt>n_perm</dt>
<dd>the number of permutations to average across, defaults to 100</dd>


<dt>n_indiv</dt>
<dd>the number of individuals to evaluate the rarefaction curve
at. The default behavior is to evaluate it on a log2 interval from 1 to N</dd>

</dl>

ind_rare_perm: Compute permutation derived individual-based rarefaction curves

Description

Usage

Arguments