cop_sammon2: Another COPS versions of Sammon mapping models (via...
In cops: Cluster Optimized Proximity Scaling

cop_sammon2

R Documentation

Another COPS versions of Sammon mapping models (via smacofSym)

Description

Uses smacofSym, so it can deal with a weightmatrix and different types. The free parameter is lambda for power transformations of the observed proximities.

Usage

cop_sammon2(
  dis,
  theta = 1,
  type = "ratio",
  ndim = 2,
  weightmat = 1 - diag(nrow(dis)),
  init = NULL,
  itmaxi = 1000,
  ...,
  stressweight = 1,
  cordweight = 0.5,
  q = 1,
  minpts = ndim + 1,
  epsilon = 10,
  rang = NULL,
  verbose = 0,
  normed = TRUE,
  scale = "sd"
)

Arguments

`dis`	numeric matrix or dist object of a matrix of proximities
`theta`	theta the theta vector of powers; this must be a scalar of the lambda transformation for the observed proximities. Defaults to 1.
`type`	MDS type. Default is ratio.
`ndim`	number of dimensions of the target space
`weightmat`	(optional) a matrix of nonnegative weights (NOT the sammon weights)
`init`	(optional) initial configuration
`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
`normed`	should the cordillera be normed; defaults to TRUE
`scale`	should the configuration be scale adjusted