I have a question regarding adding rows in between another rows. (maybe using do loops?)
I have a data for each quater for each firm. quarters without observations are removed. How can I create rows with zero for those quarters without observations?
For simplicity, let's say there are three firms, for year 2000 and 2001. And I have a data like this:
data table1;
input firm_id year quarter value;
cards;
0001 2000 1 10
0001 2000 3 20
0001 2001 2 45
0001 2001 3 14
0001 2001 4 45
0012 2000 1 34
0012 2000 2 10
0047 2000 1 34
0047 2001 3 34
;
run;
And eventually I want a data looks like
Thanks!
MIssing years as well as missing quarters? If you know you want a fixed range of years for every ID, then it's relatively straightforward:
data want (drop=qtr_found:);
array qtr_found {2000:2001,4} ;
/* Read one ID to establish qtr_found flags */
do until (last.id);
set table1 (keep=id year quarter);
by id ;
qtr_found{year,quarter}=1;
end;
/* Loop over the flags to control re-reading and output */
do year=lbound1(qtr_found) to hbound1(qtr_found);
do quarter=1 to 4;
if qtr_found{year,quarter} then set table1;
else value=0;
output;
end;
end;
run;
Notes:
This can be done by reading each year of data twice. The first read establishes 4 flags, 1 for each quarter, indicating whether that quarter is present in the given year. The second read goes through the 4 flags. If the flag is 1, then read a single record, if not then set value to 0. Then output the record.
data want (drop=qtr_found:);
array qtr_found {4} ;
do until (last.year);
set table1 (keep=id year quarter);
by id year;
qtr_found{quarter}=1;
end;
do quarter=1 to 4;
if qtr_found{quarter} then set table1;
else value=0;
output;
end;
run;
Below picture is the result based on your code.
But for firm_id=12, it has results only for year 2000. I guess it is because in the original data, there was no observation at all for firm 12 in year 2001. But I need 4 rows all with zero for firm 12 for year 2001. How can I fix this problem?
Thanks again
I like @mkeintz's approach, but it didn't account for the missing year. I think the following will:
data table1; set table1; by firm_id year; if last.firm_id and year eq 2000 then do; output; year=2001; quarter=1; value=0; output; end; else output; run; data want (drop=qtr_found:); array qtr_found {4} ; do until (last.year); set table1 (keep=firm_id year quarter); by firm_id year; qtr_found{quarter}=1; end; do quarter=1 to 4; if qtr_found{quarter} then set table1; else value=0; output; end; run;
Art, CEO, AnalystFinder.com
MIssing years as well as missing quarters? If you know you want a fixed range of years for every ID, then it's relatively straightforward:
data want (drop=qtr_found:);
array qtr_found {2000:2001,4} ;
/* Read one ID to establish qtr_found flags */
do until (last.id);
set table1 (keep=id year quarter);
by id ;
qtr_found{year,quarter}=1;
end;
/* Loop over the flags to control re-reading and output */
do year=lbound1(qtr_found) to hbound1(qtr_found);
do quarter=1 to 4;
if qtr_found{year,quarter} then set table1;
else value=0;
output;
end;
end;
run;
Notes:
data table1;
input firm_id year quarter value;
cards;
0001 2000 1 10
0001 2000 3 20
0001 2001 2 45
0001 2001 3 14
0001 2001 4 45
0012 2000 1 34
0012 2000 2 10
0047 2000 1 34
0047 2001 3 34
;
run;
proc sql;
create table want as
select a.*,coalesce(b.value,0) as value
from
(select * from (select distinct firm_id from table1),
(select distinct year from table1),
(select distinct quarter from table1) ) as a
left join table1 as b
on a.firm_id=b.firm_id and a.year=b.year and a.quarter=b.quarter;
quit;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
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.