The macro call below will generate indicators for all factor levels of xfaktor from the data set regdata represented by at least 5 observations. I have developed the macroes to avoid class variables in SAS regression analyses.
%indicator(xfaktor,regdata,5); /* Macro to generate dummy variables. */ %MACRO GETCON; %DO I = 1 %TO &N; %IF &&M&I NE 0 %THEN %PUT &factor&I; %IF &&M&I = 0 %THEN %GOTO OUT; IF &factor = &&M&I THEN &factor&I = 1; ELSE &factor&I = 0; %OUT: %END; %MEND GETCON; %macro indicator(factor,dataset,size); data tbl_data_; set &dataset(keep=&factor); run; proc sort data=tbl_data_; by &factor; run; data tbl_; set tbl_data_; by &factor; retain sz; if first.&factor then sz=1; else sz=sz+1; if last.&factor then output; run; PROC SORT DATA=tbl_(where=(sz GE &size)) OUT=UNIQUE NODUPKEY; BY &factor; RUN; /* Assign the largest value of CON to the macro variable N. */ DATA _NULL_; SET UNIQUE END=LAST; IF LAST THEN CALL SYMPUT(‘N’, PUT(&factor, 8.)); RUN; /* Assign the initial value 0 to all macro variables. */ DATA _NULL_; DO I = 1 TO &N; CALL SYMPUT(‘M’||LEFT(PUT(I, 8.)), ‘0’); END; RUN; /* Assign the value of CON to the corresponding macro variable. */ DATA _NULL_; SET UNIQUE; CALL SYMPUT(‘M’||LEFT(PUT(&factor, 8.)), PUT(&factor, 8.)); RUN; /* Create dummy variables. */ DATA &dataset; SET &dataset; %GETCON RUN; %mend;