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recluster
View on CRAN: Click
here
Download and install recluster package within the R console
Install from CRAN:
install.packages("recluster")
Install from Github:
library("remotes")
install_github("cran/recluster") Install by package version:
library("remotes")
install_version("recluster", "2.9") Attach the package and use:
library("recluster")
Maintained by
Leonardo Dapporto
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-01
Latest Update: 2020-07-26
Description:
The analysis of different aspects of biodiversity requires specific algorithms.
For example, in regionalisation analyses, the high frequency of ties and zero values in
dissimilarity matrices produced by Beta-diversity turnover produces hierarchical
cluster dendrograms whose topology and bootstrap supports are affected by the order of
rows in the original matrix. Moreover, visualisation of biogeographical regionalisation
can be facilitated by a combination of hierarchical clustering and multi-dimensional
scaling. The recluster package provides robust techniques to visualise and analyse
pattern of biodiversity and to improve occurrence data for cryptic taxa.
Other functions related to recluster (e.g. the biodecrypt family) are currently
available in GitHub at .
How to cite:
Leonardo Dapporto (2013). recluster: Ordination Methods for the Analysis of Beta-Diversity Indices. R package version 2.9, https://cran.r-project.org/web/packages/recluster. Accessed 15 Jul. 2026.
Previous versions and publish date:
Other packages that cited recluster R package
View recluster citation profile
Other R packages that recluster depends,
imports, suggests or enhances
Complete documentation for recluster
Functions, R codes and Examples using
the recluster R package
Some associated functions: dataisl . datamod . multiboot . recluster.boot . recluster.check . recluster.col . recluster.cons . recluster.dist . recluster.expl.diss . recluster.expl . recluster.fst . recluster.fst.pair . recluster.group.col . recluster.hist . recluster.identify.nodes . recluster.line . recluster.multi . recluster.node.strength . recluster . recluster.plot.col . recluster.plot.matrix . recluster.plot . recluster.plot.pie . recluster.plot.sites.col . recluster.procrustes . recluster.region . recluster.rotate . recluster.test.dist . treebut . treemod .
Some associated R codes: beta.pd.utils.R . betajac.pd.R . betasor.pd.R . dist.mat.R . pd2.R . phylosor.R . phylosorpd.R . phylosort.R . recluster.boot.R . recluster.check.R . recluster.col.R . recluster.cons.R . recluster.dist.R . recluster.expl.R . recluster.expl.diss.R . recluster.fst.R . recluster.fst.pair.R . recluster.group.col.R . recluster.hist.R . recluster.identify.nodes.R . recluster.line.R . recluster.multi.R . recluster.node.strength.R . recluster.plot.R . recluster.plot.col.R . recluster.plot.matrix.R . recluster.plot.pie.R . recluster.plot.sites.col.R . recluster.procrustes.R . recluster.region.R . recluster.rotate.R . recluster.test.dist.R . unifrac.R . unifracpd.R . unifract.R . Full recluster package functions and examples
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