plot_motifs_content

numeric vector.
The vector contains assemblage performances.

fobs

an integer vector of <code>length(fobs)</code>.
The vector contains the labels of each assemblages.
The labels are used to sorted the assemblages
that share a same assembly motif.

assMotif

a vector of strings of <code>length(fobs)</code>.
The vector contains the names of each assemblage.

assNames

a logical.
If <code>opt.sort = TRUE</code>, the names of assemblages
are sorted alphabetically inside each motif.

opt.sort

a string.
The string is a separator between each element of list of strings.

sepChar

an integer.
The number of lines to plot.

nbline

Write the assemblages belonging to each assembly motif
on several pages.

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>.

plot_motifs_content: Write the assemblages belonging to each assembly motif

Description

Usage

Arguments

Value

Details