smacofRect {smacof}R Documentation

Rectangular smacof

Description

Variant of smacof for rectangular matrices (typically ratings, preferences) which is also known as metric unfolding.

Usage

smacofRect(delta, ndim = 2, weightmat = NULL, init = NULL, verbose = FALSE,
           itmax = 1000, reg = 1e-6, eps = 1e-6)

Arguments

delta Data frame or matrix of preferences, ratings, dissimilarities.
ndim Number of dimensions
weightmat Optional matrix with dissimilarity weights
init Matrix with starting values for configurations (optional)
verbose If TRUE, intermediate stress is printed out
itmax Maximum number of iterations
reg Regularization factor, prevents distances from beeing 0
eps Convergence criterion

Details

Creates an object of class smacofR.

Value

obsdiss Observed dissimilarities
confdiss Configuration dissimilarities
conf.row Matrix of final row configurations
conf.col Matrix of final column configurations
stress Final stress value
ndim Number of dimensions
model Type of smacof model
niter Number of iterations
nind Number of individuals (rows)
nobj Number of objects (columns)

Author(s)

Jan de Leeuw and Patrick Mair

References

de Leeuw, J. & Mair, P. (2008). Multidimensional scaling using majorization: The R package smacof.

See Also

smacofConstraint, smacofSym, smacofIndDiff, smacofSphere.primal, smacofSphere.dual

Examples

data(breakfast)
res <- smacofRect(breakfast)
res
summary(res)

[Package smacof version 0.9-5 Index]