stop_sammon2 {stops} | R Documentation |
STOPS versions of Sammon mapping models (via smacofSym)
stop_sammon2(dis, theta = c(1, 1, -1), ndim = 2, weightmat = NULL, init = NULL, ..., stressweight = 1, structures = c("cclusteredness", "clinearity", "cdependence", "cmanifoldness", "cassociation", "cnonmonotonicity", "cfunctionality", "ccomplexity", "cfaithfulness", "cregularity"), strucweight = rep(1/length(structures), length(structures)), strucpars, verbose = 0, type = c("additive", "multiplicative"))
dis |
numeric matrix or dist object of a matrix of proximities |
theta |
the theta vector of powers; this is either a scalar of the lambda transformation for the observed proximities, or a vector where the first is the kappa argument for the fitted distances (here internally fixed to 1) and the second the lambda argument, the thrid the nu argiument (fixed to -1). Defaults to 1 1 -1. |
ndim |
number of dimensions of the target space |
weightmat |
(optional) a matrix of nonnegative weights |
init |
(optional) initial configuration |
... |
additional arguments to be passed to the fitting procedure |
stressweight |
weight to be used for the fit measure; defaults to 1 |
structures |
which structuredness indices to be included in the loss |
strucweight |
weight to be used for the structuredness indices; ; defaults to 1/#number of structures |
strucpars |
the parameters for the structuredness indices |
verbose |
numeric value hat prints information on the fitting process; >2 is extremely verbose |
type |
How to construct the target function for the multi objective optimization? Either 'additive' (default) or 'multiplicative' |
A list with the components
stress: the stress
stress.m: default normalized stress
stoploss: the weighted loss value
indices: the values of the structuredness indices
parameters: the parameters used for fitting
fit: the returned object of the fitting procedure
indobj: the index objects