cop_powermds function

PCOPS version of powermds

PCOPS version of powermds

This is power stress with free kappa and lambda but nu is internally fixed to 1, so no weight transformation.

cop_powermds( dis, theta = c(1, 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; a vector of length 2 where the first element is kappa (for the fitted distances), the second lambda (for the observed proximities). If a scalar is given it is recycled. Defaults to 1,1.
  • 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

Returns

A list with the components

  • stress: the stress-1 value
  • stress.m: default normalized stress
  • copstress: the weighted loss value
  • OC: the Optics cordillera value
  • parameters: the parameters used for fitting (kappa, lambda)
  • fit: the returned object of the fitting procedure
  • cordillera: the cordillera object