specgroups

dissimilarity matrix or <code>dist</code>-object.

distmat

integer vector. For every row of <code>distmat</code>,
  a number indicating the group membership.

groupvector

list with components <code>lg</code> (levels of
    <code>groupvector</code>), <code>ng</code> (number of groups), <code>nsg</code>
    (vector of group sizes).

groupinfo

Generates average within-group distances (overall and group-wise) from
  a dissimilarity matrix and a given grouping.

cluster

Distance-based parametric bootstrap tests for clustering, 
  mainly intended for presence-absence data and abundance data 
  (clustering of species
  distribution ranges). Jaccard, Kulczynski, quantitative Kulczynski 
  and geco distance measures, 
  clustering of presence-absence and abundance data, and nearest neighbor 
  based noise detection (R port of Byers
  and Raftery's (1998) "NNclean"). Main functions are prabtest, abundtest (for
  testing), prabclust (for clustering), prabinit (for preparing the data)
  and NNclean (for noise detection). The help-pages for prabtest, abundtest and
  prabclust contain simple standard executions. Note that the use of the 
  package mclust (called by function prabclust) is protected by a special 
  license, see http://www.stat.washington.edu/mclust/license.txt, particularly
  point 6. 

specgroups: Average within-group distances for given groups

Description

Usage

Arguments

Value

Examples