Another COPS versions of Sammon mapping models (via smacofSym)
Another COPS versions of Sammon mapping models (via smacofSym)
Uses smacofSym, so it can deal with a weightmatrix and different types. The free parameter is lambda for power transformations of the observed proximities.
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
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 (lambda)