stress0 {smacof} | R Documentation |
Zero-Iterations Stress
Description
Computes the stress for 0 iterations based on a starting configuration provided by the user.
Usage
stress0(delta, init, type = c("interval", "ratio", "ordinal", "mspline"),
weightmat = NULL, ties = "primary", spline.degree = 2, spline.intKnots = 2)
Arguments
delta |
Either a symmetric dissimilarity matrix or an object of class |
init |
An initial configuration provided by the user |
weightmat |
Optional matrix with dissimilarity weights |
type |
MDS type: |
ties |
Tie specification (ordinal MDS only): |
spline.degree |
Degree of the spline for |
spline.intKnots |
Number of interior knots of the spline for |
Details
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.
Value
delta |
Observed dissimilarities, not normalized |
dhat |
Disparities (transformed proximities, approximated distances, d-hats) |
confdist |
Configuration distances |
conf |
Matrix of fitted configurations |
stress |
Stress-1 value |
spp |
Stress per point (stress contribution in percentages) |
resmat |
Matrix with squared residuals |
rss |
Residual sum-of-squares |
weightmat |
Weight matrix |
ndim |
Number of dimensions |
init |
Starting configuration |
model |
Name of smacof model |
niter |
Number of iterations |
nobj |
Number of objects |
type |
Type of MDS model |
See Also
Examples
## rectangle starting solution
rect_constr
stress0(rectangles, init = rect_constr)
## torgerson starting solution
tstart <- torgerson(rectangles)
stress0(rectangles, init = tstart)