cop_sammon: PCOPS version of sammon mapping

Description Usage Arguments Value

View source: R/cops.R

Description

PCOPS version of sammon mapping

Usage

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cop_sammon(
  dis,
  theta = c(1, 1, -1),
  ndim = 2,
  init = NULL,
  weightmat = NULL,
  itmaxi = 100,
  ...,
  stressweight = 1,
  cordweight = 0.5,
  q = 1,
  minpts = ndim + 1,
  epsilon = 10,
  rang = NULL,
  verbose = 0,
  scale = "sd",
  normed = TRUE,
  stresstype = "default"
)

Arguments

dis

numeric matrix or dist object of a matrix of proximities

theta

the theta vector of powers; this is either a scalar of the lambda transformation for the observed proximities, or a vector where the first is the kappa argument for the fitted distances (here internally fixed to 1) and the second the lambda argument and the third the nu argument (here internally fixed to -1). Defaults to 1 1 -1

ndim

number of dimensions of the target space

init

(optional) initial configuration

weightmat

(optional) a matrix of nonnegative weights

itmaxi

number of iterations. default is 1000.

...

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 corrdillera; 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

stresstype

which stress to report. Only takes smacofs default stress currrently.

Value

A list with the components


cops documentation built on March 24, 2021, 1:06 a.m.