This uses an approximation to power stress that makes use of smacofx as workhorse. Free parameters are kappa, lambda and nu
cop_apstress(
dis,
theta = c(1, 1, 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"
)A list with the components
stress: the stress-1 of the configuration
stress.m: default normalized stress (sqrt(stress-1))
copstress: the weighted loss value
OC: the OPTICS cordillera value
parameters: the theta parameters used for fitting (kappa, lambda, nu)
fit: the returned object of the fitting procedure (typically of class smacofB or smacofP)
cordillera: the cordillera object
numeric matrix or dist object of a matrix of proximities
the theta vector of parameters to optimize over. Must be of length three, with the first the kappa argument, the second the lambda argument and the third the nu argument. One cannot supply upsilon and tau as of yet. Defaults to 1 1 1.
MDS type.
number of dimensions of the target space
(optional) a binary matrix of nonnegative weights.
(optional) initial configuration
number of iterations. default is 1000.
additional arguments to be passed to the fitting procedure
weight to be used for the fit measure; defaults to 1
weight to be used for the cordillera; defaults to 0.5
the norm of the cordillera; defaults to 1
the minimum points to make up a cluster in OPTICS; defaults to ndim+1
the epsilon parameter of OPTICS, the neighbourhood that is checked; defaults to 10
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.
numeric value hat prints information on the fitting process; >2 is extremely verbose
should the cordillera be normed; defaults to TRUE
should the configuration be scale adjusted