cop_powerstress {cops} | R Documentation |
COPS version of powerstress
Description
Power stress with free kappa and lambda and rho (the theta argument) and ratio and interval optimal scaling.
Usage
cop_powerstress(
dis,
theta = c(1, 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; the first is kappa (for the fitted distances), the second lambda (for the observed proximities), the third nu (for the weights). If a scalar is given it is recycled. Defaults to 1 1 1. |
type |
MDS type. Default is 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 |
Value
A list with the components
stress: the stress
stress.m: default normalized stress
copstress: the weighted loss value
OC: the Optics cordillera value
parameters: the parameters used for fitting (kappa, lambda, nu)
fit: the returned object of the fitting procedure plus a slot for the original data $deltaorig
cordillera: the cordillera object