plot_N

The MoB methods assume a linear relationship between the number of 
plots and the number of individuals. This function provides a means of 
verifying the validity of this assumption

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>,
McGlinn, D.J., et al. (2020) <doi:10.1101/851717>, and
McGlinn, D.J., et al. (2023) <doi:10.1101/2023.09.19.558467>.

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

plot_N function

<dl><dt>comm</dt>
<dd>community matrix with sites as rows and species as columns</dd>
<dt>n_perm</dt>
<dd>number of permutations to average across, defaults to 1000</dd></dl>

Arguments

Author

Plot the relationship between the number of plots and the number of
individuals — plot_N

<dl>

<dt>comm</dt>
<dd>community matrix with sites as rows and species as columns</dd>


<dt>n_perm</dt>
<dd>number of permutations to average across, defaults to 1000</dd>

</dl>

Plot the relationship between the number of plots and the number of
individuals

plot_N: Plot the relationship between the number of plots and the number of individuals

Description

Usage

Arguments

Author

Examples