stop_rstress {stops}R Documentation

STOPS version of rstress

Description

STOPS version of rstress

Usage

stop_rstress(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; this is either a scalar of the kappa transformation for the fitted distances proximities, or a vector where the first element is taken to be the kappa argument for the fitted distances and the second the lambda argument (internally fixed to 1), the third the nu argument (here internally fixed to 1). Defaults to 1 1 1. Note the kappa here differs from Jan's version where r=kappa/2.

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 structuredness indices to be included in the loss

strucweight

weight to be used for the structuredness indices; ; defaults to 1/#number of structures

strucpars

the parameters for the structuredness indices

verbose

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

type

How to construct the target function for the multi objective optimization? Either 'additive' (default) or 'multiplicative'

Value

A list with the components


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