rss_total

a numeric vector. The vector <code>fobs</code> contains the
quantitative performances of assemblages.

fobs

a vector of numerics of <code>length(fobs)</code>.
The vector <code>xpr</code> contains the weight of each experiment,
and the labels (in <code>names(xpr)</code>) of different experiments.
The weigth of each experiment is used
in the computation of the Residual Sum of Squares
in the function <code>rss_clustering</code>.
The used formula is <code>rss</code>
if each experiment has the same weight.
The used formula is <code>wrss</code>
(barycenter of RSS for each experiment)
if each experiment has different weights.
All assemblages that belong to a given experiment
should then have a same weigth.
Each experiment is identified by its names (<code>names(xpr)</code>)
and the RSS of each experiment is weighted by values of <code>xpr</code>.
The vector <code>xpr</code> is generated
by the function <code>stats::setNames</code>.

a character equals to <code>"amean"</code> or <code>"gmean"</code>.
Switchs to arithmetic formula if <code>opt.mean = "amean"</code>.
Switchs to geometric formula if <code>opt.mean = "gmean"</code>.
Modelled performances are computed
using arithmetic mean (<code>opt.mean = "amean"</code>)
or geometric mean (<code>opt.mean = "gmean"</code>)
according to <code>opt.model</code>.

opt.mean

Take performance,
then compute the total Residual Sum of Squares.

internal

Cluster together the components that make up an interactive
system on the basis of their functional redundancy
for one or more collective, systemic performances.
Plot the hierarchical tree of component clusters,
the modelled and predicted performances of component assemblages,
and other results associated with a functional clustering.
Test and prioritize the significance of the different components
that make up the interactive system,
of the different assemblages of components that make up the dataset,
and of the different performances observed on the component assemblages.
The method finds application in ecology, for instance,
where the system is an ecosystem, the components are organisms or species,
and the systemic performance is the production of biomass
or the respiration of the ecosystem.
The method is extensively described in
Jaillard B, Deleporte P, Loreau M, Violle C (2018)
"A combinatorial analysis using observational data identifies species
that govern ecosystem functioning"
<doi:10.1371/journal.pone.0201135>.

rss_total: Total Residual Sum of Squares of observed performances

Description

Usage

Arguments

Value

Details