Parameters for cluster mapping
This function provides ways for cluster mapping. For each locality (lines in data), values of four parameters are given. Pi: Presence of the cluster i (presence/absence of at least one species of the cluster); SRi: Species Richness of the cluster i (number of species of the cluster); MMDi: Maximum Membership Degree-of any species-in the cluster i (fuzzy version of Pi); FSRi: Fuzzy Species Richness (fuzzy version of SRi, i.e sum of all species' degree of membership in the cluster i).
object resulting from function
dendrogram clusters-identified by the analyst-on which the analysis is focused (see
fuzzy.Clusters must be run, and outputs stored as object
locCorotGrupos currently only works if
fuzzy.Clusters was run with an object (
macoquires) which resulted from executing
macoqui with a presences/absences data set.
This function returns the input list (invisibly), with one added element which is also shown in the console:
locality identification (correlative numbers starting in 1 are given to rows in data); Pi, SRi, MMDi and FSRi values of every cluster i in each locality
This function can take some computing time for large data sets.
Jesus Olivero, Ramon Hidalgo, Ana L. Marquez, A. Marcia Barbosa, Raimundo Real
1 2 3 4 5
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.