View source: R/cop_powerelastic.R
| cop_powerelastic | R Documentation | 
PCOPS version of elastic scaling with powers
cop_powerelastic(
  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
)
dis | 
 numeric matrix or dist object of a matrix of proximities  | 
theta | 
 the theta vector of powers; a vector of length two where the first element is kappa (for the fitted distances), the second lambda (for the observed proximities). If a scalar for the free parameters 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  | 
A list with the components
stress: the stress-1 value (sqrt(stress.m))
stress.m: default normalized stress
copstress: the weighted loss value
OC: the OPTICScordillera value
parameters: the parameters used for fitting (kappa, lambda)
fit: the returned object of the fitting procedure
cordillera: the cordillera object
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