Fuzzylogic analysis of dendrogram clusters selected by the researcher
Description
This function provides fuzzylogic descriptions and interrelationships for all clusters in the dendrogram on which the analyst wishes to put the focus.
Usage
1  fuzzy.Clusters(macoquires, grupos)

Arguments
macoquires 
object resulting from function 
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 dendrogramnode number (as in the dendrogram plot) b nodebranch 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 
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 (topright semimatrix), and of fuzzy intersections between clusters (bottomleft semimatrix) 
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
1 2 3 4 
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.