Hello,
I have a dataset ("population") consisting of about 10 000 observations. This dataset contains a variable "CITY", ranged 1 to 79 and a variable "AGE", ranged 0 to 75. In an Excel file, I have a value for each possibilites of these two variables (i.e. 79*76 lines). This variable is in fact a corrected ponderation that I need to assign to the observations of the dataset "population".
I suppose I could a large number of "if then" commands like this:
if city=1 then do;
if age=0 then pond=1.2;
if age=1 then pond=0.9;
...
end;
if city=79 then do;
if age=75 then pond=1.3;
end;
But I guess it's not the more efficient way.
Thanks
Off course there is. Assuming you imported your Excel sheet as a dataset called PONDERATION with columns AGE CITY and POND, the following query will join the two :
proc sql;
create table want as
select population.*, ponderation.pond
from population natural join ponderation;
quit;
PG
Off course there is. Assuming you imported your Excel sheet as a dataset called PONDERATION with columns AGE CITY and POND, the following query will join the two :
proc sql;
create table want as
select population.*, ponderation.pond
from population natural join ponderation;
quit;
PG
It works, thank you.
What means the "natural join" statement?
It means join on the columns with the same name. - PG
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