Displayed Output
Unless you specify the NOPHIST option, PROC MDS displays the iteration
history containing
- Iteration number
- Type of iteration:
- Initial
- initial configuration
- Monotone
- monotone transformation
- Gau-New
- Gauss-Newton step
- Lev-Mar
- Levenberg-Marquardt step
- Badness-of-Fit Criterion
- Change in Criterion
- Convergence Measures:
- Monotone
- the Euclidean norm of the change in the optimally scaled data divided by
the Euclidean norm of the optimally scaled data, averaged across partitions
- Gradient
- the multiple correlation of the Jacobian matrix with the residual vector,
uncorrected for the mean
Depending on what options are specified, PROC MDS may 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
-
- Number of Nonmissing Data
-
- Weight of the matrix or row, allowing for 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
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
