clust_ana: Cluster analysis

In happyrabbit/DataScienceR: Data Science Using R

Description

Does cluster analysis and report an index of cluster

Usage

clust_ana(ans, k, distm = "euclidean", hclustm = "ward.D", na.rm = FALSE)

Arguments

ans	data matrix
k	number of clusters
distm	Dissimilarity index, partial match to "manhattan", "euclidean"(default), "canberra", "bray", "kulczynski", "jaccard", "gower", "altGower", "morisita", "horn", "mountford", "raup" , "binomial", "chao", "cao" or "mahalanobis".
hclustm	the agglomeration method to be used. This should be (an unambiguous abbreviation of) one of "ward.D"(default), "ward.D2", "single", "complete", "average" (= UPGMA), "mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC).
na.rm	Pairwise deletion of missing observations when computing dissimilarities.

Author(s)

Hui Lin, [e-mail]

Examples

## Not run: 
data("SegData")
library(dplyr)
library(vegan)
cind <- clust_ana(dat, k=4)

## End(Not run)

happyrabbit/DataScienceR documentation built on May 17, 2019, 2:41 p.m.