ind.seg.coeff: Index Matrix for Computing the Covariance of Segregation...

In nnspat: Nearest Neighbor Methods for Spatial Patterns

Index Matrix for Computing the Covariance of Segregation Coefficients

Description

Returns the index matrix for choosing the entries in the covariance matrix for NNCT used for computing the covariance for the extension of Pielou's segregation coefficient to the multi-class case. The matrix is k(k+1)/2 \times 2 with each row is the i,j corresponding to N_{ij} in the NNCT.

Usage

ind.seg.coeff(k)

Arguments

k	An integer specifying the number of classes in the data set

Value

The k(k+1)/2 \times 2 index matrix with each row is the i,j corresponding to N_{ij} in the NNCT

Author(s)

Elvan Ceyhan

See Also

cov.seg.coeff, seg.coeff and ind.nnsym

nnspat documentation built on May 29, 2024, 10:03 a.m.