Displayed Output |
Unless you specify the NOPHIST option, PROC MDS displays the iteration history containing the following:
Iteration number
Type of iteration:
initial configuration
monotone transformation
Gauss-Newton step
Levenberg-Marquardt step
Badness-of-Fit Criterion
Change in Criterion
Convergence Measures:
the Euclidean norm of the change in the optimally scaled data divided by the Euclidean norm of the optimally scaled data, averaged across partitions
the multiple correlation of the Jacobian matrix with the residual vector, uncorrected for the mean
Depending on what options are specified, PROC MDS can also display the following tables:
Data Matrix and possibly Weight Matrix for each subject
Eigenvalues from the computation of the initial coordinates
Sum of Data Weights and Pooled Data Matrix computed during initialization with INAV=DATA
Configuration, the estimated coordinates of the objects
Dimension Coefficients
A table of transformation parameters, including one or more of the following:
Intercept
Slope
Power
A table of fit statistics for each matrix and possibly each row, including the following:
Number of Nonmissing Data
Weight of the matrix or row, permitting both observation weights and standardization factors
Badness-of-Fit Criterion
Distance Correlation computed between the distances and data with optimal transformation
Uncorrected Distance Correlation not corrected for the mean
Fit Correlation computed after applying the FIT= transformation to both distances and data
Uncorrected Fit Correlation not corrected for the mean