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CALL Execute

Regular Contributor
Posts: 185

CALL Execute

Hi SAS Experts,


I want to calculate mean of a dependent variable by categories of character variables and then replace categories with mean score. In other words, the new variables will be created with suffix _C for categorical variables and it contains mean score of dependent variable for each categories. I have written a sas macro but i am having difficulty executing last step i.e. replacing mean scores by categories. I know this can be done with 'call execute'.


data abcd;
input x y$ z a$;
73.9 C 12 E
15.96 B 20 F
92.84 A 9 E
88.4 D 16 F
40.44 C 4 B
9.85 B 9 C
54.79 B 2 C
88.19 E 16 E
98.04 D 18 F
35.85 F 15 F
15.69 E 3 F
88.6 F 16 C
33.71 B 14 A
83.19 C 3 D
68.99 E 5 C
28.15 B 17 A
56.92 A 14 A
84.21 A 13 D
91.07 E 7 A
51.76 E 4 F
57.38 D 16 A
69.96 E 3 C
17.81 D 20 A
18.59 E 6 A
17.31 C 4 A


I want all categories of variable 'a' to be recoded with the following values (mean scores) into a new column(suffix _c). The same should be done for variable 'y' with their mean scores.


a a_c
A 40.1175
B 40.44
C 58.438
D 83.7
E 84.9767
F 50.95



%macro categ(input=, depvar=,output=);


*Get library and dataset name;
data _null_;
call symput ("library", put(upcase(substr("&input",1,index("&input",'.')-1)), $8.));
call symput ("datset", put(upcase(substr("&input",index("&input",'.')+1,length("&input"))), $32.));


proc sql noprint;
select name into : vars separated by " "
from dictionary.columns
where LIBNAME = "WORK"
and type = "char";


%let n=%sysfunc(countw(&vars));
%do i=1 %to &n;
%let val = %scan(&vars,&i);


proc means data = abcd noprint nway;
class &val.;
var &depvar.;
output out= temp_&val. (drop = _type_ _freq_) mean= ;


%categ(input=work.abcd, depvar=x, output=abcd2);


Super User
Posts: 6,629

Re: CALL Execute

One approach:  Instead of using a CLASS statement in PROC MEANS, sort and use a BY statement.  Then it becomes a simple matter to re-combine:


data want;

merge abcd temp_&val (rename=(&depvar=&depvar._c));

by &val;



If you take that approach, it's not really necessary to select a significant name for the output data set from PROC MEANS.  Just call it STATS, and merge it back in.  You can reuse the name STATS for the next variable.

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