uniscale {smacof} | R Documentation |
Unidimensional Scaling
Description
Simple implementation where all dissimilarity permutations are subject to a 1D MDS fit and the one which leads to a minimal stress values is returned.
Usage
uniscale(delta, weightmat = NULL, verbose = TRUE)
Arguments
delta |
Either a symmetric dissimilarity matrix or an object of class |
weightmat |
Optional matrix with dissimilarity weights |
verbose |
Permutation printout |
Value
delta |
Observed dissimilarities, not normalized |
confdist |
Configuration distances |
conf |
Vector with fitted configurations |
stress |
Stress-1 value |
weightmat |
Weight matrix |
nobj |
Number of objects |
npermtot |
Total number of permutations (factorial) |
npermscale |
Number of accepted permutations (monotonicity check) |
References
Mair P., De Leeuw J. (2015). Unidimensional scaling. In Wiley StatsRef: Statistics Reference Online, Wiley, New York.
See Also
Examples
## unidimensional scaling of Plato's 7 works
PlatoD <- dist(t(Plato7))
fit.uni <- uniscale(PlatoD)
fit.uni
plot(fit.uni)
[Package smacof version 2.1-6 Index]