R: Rectangular smacof

LEGACY CONTENT. If you are looking for Voteview.com, PLEASE CLICK HERE

This site is an archived version of Voteview.com archived from University of Georgia on May 23, 2017. This point-in-time capture includes all files publicly linked on Voteview.com at that time. We provide access to this content as a service to ensure that past users of Voteview.com have access to historical files. This content will remain online until at least January 1st, 2018. UCLA provides no warranty or guarantee of access to these files.

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, circle = c("none","row","column"), 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
`circle`	If `"column"`, the column configurations are restricted to be on a circle, if `"row"`, row configurations are on a circle, if `"none"`, there are no restrictions on row and column configurations
`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 being 0
`eps`	Convergence criterion

Details

Creates an object of class smacofR. The code for the circular restriction was provided by Patrick Groenen.

Value

`obsdiss`	Observed dissimilarities, corresponds to delta
`confdiss`	Configuration dissimilarities
`conf.row`	Matrix of final row configurations
`conf.col`	Matrix of final column configurations
`stress`	Final, normalized stress value
`spp.row`	Stress per point, rows
`spp.col`	Stress per point, columns
`congvec`	Vector of congruency coefficients
`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. (2009). Multidimensional scaling using majorization: The R package smacof. Journal of Statistical Software, 31(3), 1-30, http://www.jstatsoft.org/v31/i03/

Examples

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

## various configuration plots
plot(res)
plot(res, type = "p", pch = 25)
plot(res, type = "p", pch = 25, col.columns = 3, 
label.conf.columns = list(label = TRUE, pos = 3, col = 3), 
col.rows = 8, label.conf.rows = list(label = TRUE, pos = 3, col = 8))

plot(res, joint = TRUE)
plot(res, joint = TRUE, type = "p", pch = 25, col.columns = 4, 
label.conf.columns = list(label = TRUE, pos = 3, col = 4), col.rows = 8, 
label.conf.rows = list(label = TRUE, pos = 3, col = 8))

[Package smacof version 1.5-0 Index]