data have;
infile cards dlm='|';
input Column1- Column4;
cards;
0000 | 0000 | 0000 | 2084
2081 | 0000 | 0000 | 0000
0000 | 2082 | 2083 | 0000
;
proc sql;
select max(Column1),max(Column2),max(Column3),max(Column4)
into : c1,: c2,: c3,: c4
from have;
quit;
%put _user_ ;
There's always 4 variables, 3 rows, and 4 values?
What will you be doing with those macro variables later on?
And what will that below code do?
I ask because in 90% (if not 100%) of cases it is not necessary to create a list of macro variables, but instead the code can be created (or called) directly from the dataset.
data _null_;
set have;
retain counter 0;
array col {*} column:;
do i = 1 to dim(col);
if col{i} ne '0000'
then do;
counter +1;
call symputx(cats('mvar',counter),col{i});
end;
end;
run;
Mind that perpetuating a bad code structure by adding even more bad code to it is always a bad idea. Improving suboptimal code is a worthy investment into your own future.
data have;
infile cards dlm='|';
input Column1- Column4;
cards;
0000 | 0000 | 0000 | 2084
2081 | 0000 | 0000 | 0000
0000 | 2082 | 2083 | 0000
;
proc sql;
select max(Column1),max(Column2),max(Column3),max(Column4)
into : c1,: c2,: c3,: c4
from have;
quit;
%put _user_ ;
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.