Computes the stress for 0 iterations based on a starting configuration provided by the user.
stress0(delta, init, type = c("interval", "ratio", "ordinal", "mspline"),
weightmat = NULL, ties = "primary", spline.degree = 2, spline.intKnots = 2)
Observed dissimilarities, not normalized
Disparities (transformed proximities, approximated distances, d-hats)
Configuration distances
Matrix of fitted configurations
Stress-1 value
Stress per point (stress contribution in percentages)
Matrix with squared residuals
Residual sum-of-squares
Weight matrix
Number of dimensions
Starting configuration
Name of smacof model
Number of iterations
Number of objects
Type of MDS model
Either a symmetric dissimilarity matrix or an object of class "dist"
An initial configuration provided by the user
Optional matrix with dissimilarity weights
MDS type: "interval", "ratio", "ordinal" (nonmetric MDS), or "mspline"
Tie specification (ordinal MDS only): "primary", "secondary", or "tertiary"
Degree of the spline for "mspline" MDS type
Number of interior knots of the spline for "mspline" MDS type
Computes stress-1 for a particular starting configuration the user needs to provide. It can also be helpful if the user wants to force a particular theoretical configuration (as specified in inits) on the data.
mds
## rectangle starting solution
rect_constr
stress0(rectangles, init = rect_constr)
## torgerson starting solution
tstart <- torgerson(rectangles)
stress0(rectangles, init = tstart)
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