cop_cmdscale {cops} | R Documentation |
PCOPS version of strain
Description
The free parameter that pcops optimizes over is lambda for power transformations of the observed proximities.
Usage
cop_cmdscale(
dis,
theta = 1,
type = "ratio",
weightmat = NULL,
ndim = 2,
init = NULL,
itmaxi = 1000,
add,
...,
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; this must be a scalar of the lambda transformation for the observed proximities. |
type |
MDS type. Ignored here. |
weightmat |
(optional) a matrix of nonnegative weights |
ndim |
number of dimensions of the target space |
init |
(optional) initial configuration |
itmaxi |
number of iterations. No effect here. |
add |
should the dissimilarities be made Euclidean? Defaults to TRUE. |
... |
additional arguments to be passed to the fitting procedure smacofx::cmdscale. Note we always use eig=TRUE and that can't be changed (we need the GOF). Also default if nothing is supplied is to use add=TRUE which in my opinion one always should to avoid negative eigenvalues. |
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 |
scale |
should the configuration be scale adjusted |
normed |
should the cordillera be normed; defaults to TRUE |
Value
A list with the components
stress: the badness-of-fit value (this isn't stress here but 1-(sum_ndim(max(eigenvalues,0))/sum_n(max(eigenvalues,0)), 1-GOF[2])
stress.m: default normalized stress (manually calculated)
copstress: the weighted loss value
OC: the Optics cordillera value
parameters: the parameters used for fitting (lambda)
fit: the returned object of the fitting procedure, which is cmdscalex object with some extra slots for the parameters and stresses
cordillera: the cordillera object