cdms.mu.bcd {multivariance} | R Documentation |
computes the doubly centered distance matrices, mus and bcds
Description
computes the doubly centered distance matrices, mus and bcds
Usage
cdms.mu.bcd(x, vec = 1:ncol(x), membership = NULL, cdm.normalize = TRUE, ...)
Arguments
x |
matrix, each row is a sample |
vec |
vector which indicates which columns are treated as one sample |
membership |
depreciated. Now use |
... |
these are passed to |
Value
A list containing the following components:
list.cdm
list of the doubly centered distance matrices - these are always normalized if 'cdm.normalize = TRUE'!!!,
mu
matrix with the limit moments in a column for each variable,
bcd
matrix with b, c, d (which are required for the computation of the finite sample moments) in columns for each variable,
mean
vector with the mean of each distance matrix.
[Package multivariance version 2.4.1 Index]