cop_sstress: PCOPS version of sstress
In cops: Cluster Optimized Proximity Scaling

cop_sstress

R Documentation

PCOPS version of sstress

Description

Free parameter is lambda for the observed proximities. Fitted distances are transformed with power 2, weights have exponent of 1. Note that the lambda here works as a multiplicator of 2 (as sstress has f(delta^2)).

Usage

cop_sstress(
  dis,
  theta = 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; this must be a scalar of the lambda transformation for the observed proximities. Defaults to 1. Note that the lambda here works as a multiplicator of 2 (as sstress has f(delta^2)).
`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