fuzzy.Clusters: Fuzzy-logic analysis of dendrogram clusters selected by the...

In RMacoqui: Identifying and describing chorotypes based on similarity between species distributions

Description

This function provides fuzzy-logic descriptions and inter-relationships for all clusters in the dendrogram on which the analyst wishes to put the focus.

Usage

fuzzy.Clusters(macoquires, grupos)

Arguments

macoquires	object resulting from function macoqui
grupos	dendrogram clusters -identified by the analyst- on which the analysis is focused

Details

Before applying fuzzy.Clusters, macoqui must be run, and outputs must be stored as object 'macoquires'.

grupos <- c(n, b, ...), where:

n dendrogram-node number (as in the dendrogram plot) b node-branch corresponding to the cluster (1 if left, 2 if right) ... idem for all clusters to be analized

Value

This function returns a list of 9 elements, some of which are shown in the console:

ngrupos	the input number of analysed groups
grupos	the input groups object
desGrupos	a description of the input groups, including their node and branch
elementosGrupos1
elementosGrupos2
ldifusaGrupos	parameters to compute cluster fuzzy entropy, fuzzy union of clusters, and fuzzy intersection between clusters
mcardinales	cardinals of fuzzy unions between clusters (top-right semi-matrix), and of fuzzy intersections between clusters (bottom-left semi-matrix)
mentropia	cluster fuzzy parameters (cardinal, entropy, height) and number of species in the cluster; fuzzy inclusion of the cluster in other clusters; fuzzy overlap between clusters
datos	the input species dataset

Author(s)

Jesus Olivero, Ramon Hidalgo, Ana L. Marquez, A. Marcia Barbosa, Raimundo Real

See Also

macoqui, locCorotGrupos, ver.matRmacoqui

Examples

data(amphib)
macoquires <- macoqui(amphib)
grupos <- c(12,1,12,2,13,1,13,2,15,1,10,1,10,2,17,2)
fuzzyres <- fuzzy.Clusters(macoquires, grupos)

RMacoqui documentation built on May 31, 2017, 3:43 a.m.

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