groupwise.density


    a factor or vector that can be coerced into a factor, specifying
    which group each row of <code>X</code> belongs to.
  

groups


    see <code><a rd-options="" href="/link/diss?package=dissUtils&version=1.0" data-mini-rdoc="dissUtils::diss">diss</a></code>
  

method


    the proportion of each groups neighbors that should be
    visited. Proportions are necessary when groups have different sizes
    because otherwise the densities aren't as comparable.
  

p.neighbors

init.info


  In order to compare the distributions of different groups within the
  same multivariate space, calculates the nearest-neighbor densities of
  each point in the whole data set according to the distribution of each subset.


 multivariate

This package has extensible C++ code for computing dissimilarities between vectors. It also has a number of C++ functions for assembling collections of dissimilarities. In particular, it lets you find a matrix of dissimilarities between the rows of two input matrices. There are also functions for finding the nearest neighbors of each row of a matrix, either within the matrix itself or within another matrix.

groupwise.density: Searches Subsets for Nearest Neighbor Densities

Description

Usage

Arguments

Value