Allowable Syntax
If you have a lot of legacy syntax from IBM® SPSS® Statistics or are familiar with the data preparation features of IBM SPSS Statistics, you can use the Statistics Transform node to run many of your existing transformations. As a guideline, the node enables you to transform data in predictable ways--for example, by running looped commands or by changing, adding, sorting, filtering, or selecting data.
Examples of the commands that can be carried out are:
- Compute random numbers according to a binomial distribution:
COMPUTE newvar = RV.BINOM(10000,0.1) - Recode a variable into a new variable:
RECODE Age (Lowest thru 30=1) (30 thru 50=2) (50 thru Highest=3) INTO AgeRecoded - Replace missing values:
RMV Age_1=SMEAN(Age)The IBM SPSS Statistics syntax that is supported by the Statistics Transform node is listed below.
| Command Name |
|---|
| ADD VALUE LABELS |
| APPLY DICTIONARY |
| AUTORECODE |
| BREAK |
| CD |
| CLEAR MODEL PROGRAMS |
| CLEAR TIME PROGRAM |
| CLEAR TRANSFORMATIONS |
| COMPUTE |
| COUNT |
| CREATE |
| DATE |
| DEFINE-!ENDDEFINE |
| DELETE VARIABLES |
| DO IF |
| DO REPEAT |
| ELSE |
| ELSE IF |
| END CASE |
| END FILE |
| END IF |
| END INPUT PROGRAM |
| END LOOP |
| END REPEAT |
| EXECUTE |
| FILE HANDLE |
| FILE LABEL |
| FILE TYPE-END FILE TYPE |
| FILTER |
| FORMATS |
| IF |
| INCLUDE |
| INPUT PROGRAM-END INPUT PROGRAM |
| INSERT |
| LEAVE |
| LOOP-END LOOP |
| MATRIX-END MATRIX |
| MISSING VALUES |
| N OF CASES |
| NUMERIC |
| PERMISSIONS |
| PRESERVE |
| RANK |
| RECODE |
| RENAME VARIABLES |
| RESTORE |
| RMV |
| SAMPLE |
| SELECT IF |
| SET |
| SORT CASES |
| STRING |
| SUBTITLE |
| TEMPORARY |
| TITLE |
| UPDATE |
| V2C |
| VALIDATEDATA |
| VALUE LABELS |
| VARIABLE ATTRIBUTE |
| VARSTOCASES |
| VECTOR |