Hi....I have a dataset that I am trying to add a row for each region if Level =1 is missing. The objective is to have 4 records for each Region and Levels 2, 3 and 4 will always appear as these Levels are manditory whereas Level=1 is optional. If Level=1 is missing for the Region, then a new recorded is added so that Levels 1, 2 ,3 and 4 appear where all fields appear blank except for the field Level which will have a "1" and the Region.
The code I have tried is:
Data New;
Set New;
By Region;
If Level ^=1 then do:
Region =Region;
Level=1;
end;
output;
run;
Have:
| Region | Level | Cost | 
| South | 2 | 132 | 
| South | 3 | 143 | 
| South | 4 | 100 | 
| North | 1 | 200 | 
| North | 2 | 210 | 
| North | 3 | 187 | 
| North | 4 | 178 | 
Want:
| Region | Level | Cost | 
| South | 1 | |
| South | 2 | 132 | 
| South | 3 | 143 | 
| South | 4 | 100 | 
| North | 1 | 200 | 
| North | 2 | 210 | 
| North | 3 | 187 | 
| North | 4 | 178 | 
If you have all the levels at some point in your data set you can use the sparse option in proc freq.
proc freq data=have;
table region*level/sparse out=want;
weight cost;
run;
					
				
			
			
				
			
			
			
			
			
			
			
		It is about Cartesian Product of SQL.
data have;
infile cards expandtabs truncover;
input Region $	Level	Cost;
cards;
South	2	132
South	3	143
South	4	100
North	1	200
North	2	210
North	3	187
North	4	178
;
run;
proc sql;
select a.*,b.cost
 from (
  select * 
   from (select distinct Region from have),
        (select distinct Level  from have)
       ) 
       as a left join have as b 
        on a.Region=b.Region  and a.Level=b.Level  ;
quit;
       
					
				
			
			
				
			
			
			
			
			
			
			
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