Chapter Contents |
Previous |
Next |
The VARCLUS Procedure |
The values of the _TYPE_ variable are listed in the following table.
Table 68.2: _TYPE_ Value and Statistic_TYPE_ | Contents |
MEAN | means |
STD | standard deviations |
USTD | uncorrected standard deviations, produced when the NOINT option is specified |
N | number of observations |
CORR | correlations |
UCORR | uncorrected correlation matrix, produced when the NOINT option is specified |
MEMBERS | number of members in each cluster |
VAREXP | variance explained by each cluster |
PROPOR | proportion of variance explained by each cluster |
GROUP | number of the cluster to which each variable belongs |
RSQUARED | squared multiple correlation of each variable with its cluster component |
SCORE | standardized scoring coefficients |
USCORE | scoring coefficients to be applied without subtracting the mean from the raw variables, produced when the NOINT option is specified |
STRUCTUR | cluster structure |
CCORR | correlations between cluster components |
The observations with _TYPE_='MEAN', 'STD', 'N', and 'CORR' have missing values for the _NCL_ variable. All other values of the _TYPE_ variable are repeated for each cluster solution, with different solutions distinguished by the value of the _NCL_ variable. If you want to specify the OUTSTAT= data set with the SCORE procedure, you can use a DATA step to select observations with the _NCL_ variable missing or equal to the desired number of clusters. Alternatively, you can use a WHERE clause, as follows.
proc score score=s (where=(_ncl_ =3)) data=newscore;
The variables in the OUTTREE= data set are
Chapter Contents |
Previous |
Next |
Top |
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.