SPSS® 12.0 Command Syntax Reference

SAVE Subcommand
DISCRIMINANT 477
SAVE allows you to save casewise information as new variables in the working data file.
• SAVE applies only to the current analysis block. To save casewise results from more than
one analysis, specify a SAVE subcommand in each analysis block.
• You can specify a variable name for CLASS and rootnames for SCORES and PROBS to
obtain descriptive names for the new variables.
• If you do not specify a variable name for CLASS, the program forms variable names using
the formula DSC_m, where m increments to distinguish group membership variables
saved on different SAVE subcommands for different analysis blocks.
• If you do not specify a rootname for SCORES or PROBS, the program forms new variable
names using the formula DSCn_m, where m increments to create unique rootnames and n
increments to create unique variable names. For example, the first set of default names
assigned to discriminant scores or probabilities are DSC1_1, DSC2_1, DSC3_1, and so on.
The next set of default names assigned will be DSC1_2, DSC2_2, DSC3_2, and so on,
regardless of whether discriminant scores or probabilities are being saved or whether they
are saved by the same SAVE subcommand.
• The keywords CLASS, SCORES, and PROBS can be used in any order, but the new variables
are always added to the end of the working data file in the following order: first the predicted
group, then the discriminant scores, and finally probabilities of group membership.
• Appropriate variable labels are automatically generated. The labels describe whether the
variables contain predictor group membership, discriminant scores, or probabilities, and
for which analysis they are generated.
• The CLASS variable will use the value labels (if any) from the grouping variable specified
for the analysis.
• When SAVE is specified with any keyword, DISCRIMINANT displays a classification
processing summary table and a prior probabilities for groups table.
• You cannot use the SAVE subcommand if you are replacing the working data file with
matrix materials (see “Matrix Output” on p. 482).
CLASS [(varname)] Predicted group membership.
SCORES [(rootname)] Discriminant scores. One score is saved for each discriminant function
derived. If a rootname is specified, DISCRIMINANT will append a
sequential number to the name to form new variable names for the discriminant
scores.
PROBS [(rootname)] For each case, the probabilities of membership in each group. As
many variables are added to each case as there are groups. If a rootname
is specified, DISCRIMINANT will append a sequential number to
the name to form new variable names.