cop_powermds {cops}R Documentation

PCOPS version of powermds

Description

This is power stress with free kappa and lambda but nu is internally fixed to 1, so no weight transformation.

Usage

cop_powermds(
  dis,
  theta = c(1, 1),
  type = "ratio",
  weightmat = 1 - diag(nrow(dis)),
  init = NULL,
  ndim = 2,
  itmaxi = 10000,
  ...,
  stressweight = 1,
  cordweight = 0.5,
  q = 1,
  minpts = ndim + 1,
  epsilon = 10,
  rang = NULL,
  verbose = 0,
  scale = "sd",
  normed = TRUE
)

Arguments

dis

numeric matrix or dist object of a matrix of proximities

theta

the theta vector of powers; a vector of length 2 where the first element is kappa (for the fitted distances), the second lambda (for the observed proximities). If a scalar is given it is recycled. Defaults to 1,1.

type

MDS type. Defaults to ratio.

weightmat

(optional) a matrix of nonnegative weights

init

(optional) initial configuration

ndim

number of dimensions of the target space

itmaxi

number of iterations. default is 10000.

...

additional arguments to be passed to the fitting procedure

stressweight

weight to be used for the fit measure; defaults to 1

cordweight

weight to be used for the cordillera; defaults to 0.5

q

the norm of the cordillera; defaults to 1

minpts

the minimum points to make up a cluster in OPTICS; defaults to ndim+1

epsilon

the epsilon parameter of OPTICS, the neighbourhood that is checked; defaults to 10

rang

range of the distances (min distance minus max distance). If NULL (default) the cordillera will be normed to each configuration's maximum distance, so an absolute value of goodness-of-clusteredness.

verbose

numeric value hat prints information on the fitting process; >2 is extremely verbose

scale

should the configuration be scale adjusted

normed

should the cordillera be normed; defaults to TRUE

Value

A list with the components


[Package cops version 1.11-3 Index]