indscal: Individual Differences Scaling of provenance data
Description
Performs 3-way Multidimensional Scaling analysis using Carroll and
Chang (1970)'s INdividual Differences SCALing method as implemented
using De Leeuw and Mair (2011)'s stress majorization algorithm.
Usage
indscal(..., type = "ordinal")
Arguments
...
a sequence of datasets of class distributional or
compositional
type
is either "ratio" or "ordinal"
Value
an object of class INDSCAL, i.e. a list containing
the following items:delta: Observed dissimilaritiesobsdiss: List of observed dissimilarities, normalizedconfdiss: List of configuration dissimilaritiesconf: List of matrices of final configurationsgspace: Joint configurations aka group stimulus spacecweights: Configuration weightsstress: Stress-1 valuespp: Stress per pointsps: Stress per subject (matrix)ndim: Number of dimensionsmodel: Type of smacof modelniter: Number of iterationsnobj: Number of objects
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/>