Learn more about Python extension procedures by opening Help->Topics and entering the search keywords Python and Extension. Once it is installed, the procedure is available from the menu
#CREATE DUMMY VARIABLES SPSS VERSION 25 INSTALL#
(SPSS Statistics versions 22 and above install the Python Essentials and a version of Python by default as part of the SPSS installation.). It requires that the Python essentials for SPSS be installed with the program and that the Python language be installed on your computer. It can optionally create macro variables representing sets of dummies. Like the syntax command sets above, it is useful in converting categorical variables into a set of variables appropriate for use in the Regression procedure. It can also create dummies for two- and three-way interaction terms. This procedure creates a set of (0,1) indicator variables representing the distinct values of one or more variables. SSC Stata Package List - Haghish We can use the pd.getdummies() function to turn gender into a dummy variable: convert gender to dummy variable pd. The first command set, for example, would be revised as follows to produce an indicator for each of the 5 categories in the variable CAT.įor SPSS Statistics versions 18 and above, there is also an extension procedure called SPSSINC CREATE DUMMIES. Suppose that you wanted to use these indicator variables as arguments for the SUM() function in an Aggregate procedure. If you wanted to create indicator variables for all of the n values of a categorical variable, then all of the above command sets could be easily adapted to do so. The new dummy variables - NewYork, California, and Illinois - would be numeric indicator variables. You would need to place quotes around the string values in the stand-in list, as in the following commands.ĭO REPEAT iv = NewYork California Illinois / g = 'NY' 'CA' 'IL'. Suppose that you had a string variable named STATE with 2-character state codes and wanted to create dummy variables for 3 of the states. * if reference category were neither first nor last, but 3rd,ĭO REPEAT seems handier than VECTOR and LOOP.ĭO REPEAT iv = c3i1 c3i2 c3i4 c3i5 / g = 1 2 4 5. With either the LOOP or DO REPEAT approach, you can assign less generic new variable names that do not have a common stem like 'dum' or 'indv', but you need to list out the names in the NUMERIC or DO REPEAT commands.ĭO REPEAT iv = Arts Medicine Engineering Law * creating similar vars as above but using do repeat command. * if you wanted to make the first category the referenceĬategory (0 on all indicator vars) with var names reflecting * create 4 indicator variables for categories 2 to 5 * create 4 indicator variables for categories 1 to 4 * most examples below generate indicators from a nominal variable, called cat, that is present in Of these, the DO REPEAT approach is somewhat more general, or at least easier if the reference category is not the highest value. There are several short command sequences that can do it and examples are provided below. Unfortunately, there is no single command to do this.
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