functClust: Functional Clustering of Redundant Components of a System

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>.

Version: 0.1.6
Depends: R (≥ 3.4.0)
Imports: stats, utils, graphics, grDevices, multcompView, clusterCrit
Suggests: testthat, rmarkdown, knitr, R.rsp
Published: 2020-12-02
Author: Benoît Jaillard ORCID iD [aut, cre], Philippe Deleporte ORCID iD [aut], Michel Loreau [aut], Cyrille Violle ORCID iD [aut]
Maintainer: Benoît Jaillard <benito.jaillard at>
License: GPL-3
NeedsCompilation: no
CRAN checks: functClust results


Reference manual: functClust.pdf
Vignettes: Overview of functClust
The simplest use of functClust
The options of fclust
The options of fclust_plot
Multi-functionality with functClust
Testing significance with functClust
Package source: functClust_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: functClust_0.1.6.tgz, r-oldrel: functClust_0.1.6.tgz


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