stop_powersammon {stops}R Documentation

STOPS version of sammon with powers

Description

STOPS version of sammon with powers

Usage

stop_powersammon(dis, theta = c(1, 1, -1), weightmat = NULL,
  init = NULL, ndim = 2, ..., stressweight = 1,
  structures = c("cclusteredness", "clinearity", "cdependence",
  "cmanifoldness", "cassociation", "cnonmonotonicity", "cfunctionality",
  "ccomplexity", "cfaithfulness", "cregularity", "chierarchy",
  "cconvexity", "cstriatedness", "coutlying", "cskinniness", "csparsity",
  "cstringiness", "cclumpiness", "cinequality"),
  strucweight = rep(1/length(structures), length(structures)), strucpars,
  verbose = 0, type = c("additive", "multiplicative"))

Arguments

dis

numeric matrix or dist object of a matrix of proximities

theta

the theta vector of powers; the first is kappa (for the fitted distances), the second lambda (for the observed proximities), the third (nu) is not free but fixed to -1. If a scalar is given it is recycled for the free parameters. Defaults to 1 1 -1.

weightmat

(optional) a matrix of nonnegative weights

init

(optional) initial configuration

ndim

number of dimensions of the target space

...

additional arguments to be passed to the fitting procedure

stressweight

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

structures

which strcutures to look for

strucweight

weight to be used for the structures; defaults to 0.5

strucpars

a list of parameters for the structuredness indices; each list element corresponds to one index in the order of the appeacrance in structures

verbose

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

type

which weighting to be used in the multi-objective optimization? Either 'additive' (default) or 'multiplicative'.

Value

A list with the components


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