smacofSphere.dual {smacof} | R Documentation |
Dual and primal approach for spherical SMACOF.
smacofSphere.dual <- function(delta, penalty = 100, ndim = 2, weightmat = NULL, init = NULL, metric = TRUE, ties = "primary", verbose = FALSE, relax = 1, modulus = 1, itmax = 100, eps = 1e-6) smacofSphere.primal (delta, ndim = 2, weightmat = NULL, init = NULL, metric = TRUE, ties = "primary", verbose = FALSE, modulus = 1, itmax = 100, eps = 1e-6)
delta |
Either a symmetric dissimilarity matrix or an object of class dist |
penalty |
Penalty parameter for dual algorithm (larger 0) |
ndim |
Number of dimensions |
weightmat |
Optional matrix with dissimilarity weights |
init |
Matrix with starting values for configurations (optional) |
metric |
If FALSE non-metric MDS is performed |
ties |
Tie specification for non-metric MDS only |
verbose |
If TRUE , intermediate stress is printed out |
relax |
Relaxed smacof update |
modulus |
Number of smacof iterations per monotone regression call |
itmax |
Maximum number of iterations |
eps |
Convergence criterion |
obsdiss |
Observed dissimilarities, normalized |
obsdiss1 |
Dual SMACOF: Observed dissimilarities |
obsdiss2 |
Dual SMACOF: Restriction matrix |
confdiss |
Configuration dissimilarities |
conf |
Matrix of final configurations |
stress.m |
stress value for metric MDS |
stress.nm |
stress value for non-metric MDS (if computed) |
ndim |
Number of dimensions |
dummyvec |
Dummy vector of restriction matrix |
model |
Type of smacof model |
niter |
Number of iterations |
nobj |
Number of objects |
Jan de Leeuw and Patrick Mair
de Leeuw, J. & Mair, P. (2008). Multidimensional scaling using majorization: The R package smacof.
smacofRect
, smacofIndDiff
, smacofSym
,smacofConstraint
## spherical SMACOF solution for trading data data(trading) res <- smacofSphere.dual(trading) res summary(res)