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I have a variable delivery_date with one observation and test_date with 20 observations. I'd like to find the closest date in test_date to delivery_date by find the minimum absolute difference and retain the minimum value.
When I merge the datasets I only get two observations paired up and get missing values for the rest. Would anyone please explain how to go about this with maybe a do loop or...???
Thank you!
delivery_date | ||||||||||||||||||||||
11/16/2011 | ||||||||||||||||||||||
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You cannot merge by date as the dates do not match.
You could create a dummy variable that is a constant in each and merge on that (not really needed, but it you had a grouping variable it might help).
You could just set the single obs dataset once.
data want;
if _n_=1 then set delivery_dataset;
set test_dataset;
diff = delivery_date - test_date;
absdiff = abs(diff);
run;
Probably easiest to just use PROC SQL.
proc sql noprint ;
create table want as
select a.delivery_date,b.test_date,a.delivery_date-b.test_date as diff, abs(a.delivery_date - b.test_date) as absdiff
from delivery_dataset a , test_dataset b
order by 4
;
quit;
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Thanks Tom