indscal | R Documentation |
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.
indscal(..., type = "ordinal", itmax = 1000)
... |
a sequence of datasets of class |
type |
is either "ratio" or "ordinal" |
itmax |
Maximum number of iterations |
an object of class INDSCAL
, i.e. a list containing
the following items:
delta
: Observed dissimilarities
obsdiss
: List of observed dissimilarities, normalized
confdiss
: List of configuration dissimilarities
conf
: List of matrices of final configurations
gspace
: Joint configurations aka group stimulus space
cweights
: Configuration weights
stress
: Stress-1 value
spp
: Stress per point
sps
: Stress per subject (matrix)
ndim
: Number of dimensions
model
: Type of smacof model
niter
: Number of iterations
nobj
: Number of objects
Jan de Leeuw and Patrick Mair
de Leeuw, J., & Mair, P. (2009). Multidimensional scaling using majorization: The R package smacof. Journal of Statistical Software, 31(3), 1-30, <https://www.jstatsoft.org/v31/i03/>
## Not run:
attach(Namib)
plot(indscal(DZ,HM,PT,Major,Trace))
## End(Not run)
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