powerStressMin {cops}R Documentation

Power Stress SMACOF

Description

An implementation to minimize power stress by minimization-majorization. Usually more accurate but slower than powerStressFast. Uses a repeat loop.

Usage

powerStressMin(delta, kappa = 1, lambda = 1, nu = 1, weightmat = 1
  - diag(nrow(delta)), init = NULL, ndim = 2, acc = 1e-10,
  itmax = 50000, verbose = FALSE)

Arguments

delta

dist object or a symmetric, numeric data.frame or matrix of distances

kappa

power of the transformation of the fitted distances; defaults to 1

lambda

the power of the transformation of the proximities; defaults to 1

nu

the power of the transformation for weightmat; defaults to 1

weightmat

a matrix of finite weights

init

starting configuration

ndim

dimension of the configuration; defaults to 2

acc

numeric accuracy of the iteration

itmax

maximum number of iterations. Default is 50000.

verbose

should iteration output be printed; if > 1 then yes

Value

a smacofP object (inheriting form smacofB, see smacofSym). It is a list with the components

and some additional components

See Also

smacofSym

Examples

dis<-smacof::kinshipdelta
res<-powerStressMin(as.matrix(dis),kappa=2,lambda=1.5,verbose=3)
res
summary(res)
plot(res)


[Package cops version 0.8-0 Index]