Hi everyone,
I've used numbered range lists to input variables and to check them for missing values, which worked quite well: If nmiss(of a1-a3 b1-b3)>0 Then...
Now, I need to also check if any of the variables is zero. Therefore, I enhanced the If-clause accordingly: If nmiss(of a1-a3 b1-b3)>0 or min(of a1-a3 b1-b3)=0 Then...
Interestingly, this slows down processing time considerably (on my machine for >60 variables). Although I can live with that, I wonder if there's a better approach.
Data zzz;
Input a1-a3 b1-b3;
If nmiss(of a1-a3 b1-b3)=0 And min(of a1-a3 b1-b3)>0 Then Output;
Datalines;
1 2 3 4 5 6
1 . 3 4 5 6
1 2 3 4 0 6
;
Run;
Not sure if it makes any difference, but you may try to replace two functions with only one "ORDINAL",
Data zzz;
Input a1-a3 b1-b3;
/* If nmiss(of a1-a3 b1-b3)=0 And min(of a1-a3 b1-b3)>0;*/
if ordinal(1,of a1-a3 b1-b3) >0;
Datalines;
1 2 3 4 5 6
1 . 3 4 5 6
1 2 3 4 0 6
;
Run;
Haikuo
You could consider normalizing your data, so something like:
Section Type Value
1 A1 1
1 A2 2
...
3 B3 6
Then you could use SQL to sum and find missing values. This may help with performance, however the secondary benefit of this is scalability. So you have >60 variables at the moment, this is 60 rows per group, however what about 120, or more. As for your example, I couldn't see any way of speeding it up other than that.
If your source data is in SAS tables, and if you want to subset your data with this condition, use WHERE instead,
Otherwise, I can't see any real alternative. Syntactically you could use an array instead, but it's very unlikely that it could be more efficient than built-in functions.
Not sure if it makes any difference, but you may try to replace two functions with only one "ORDINAL",
Data zzz;
Input a1-a3 b1-b3;
/* If nmiss(of a1-a3 b1-b3)=0 And min(of a1-a3 b1-b3)>0;*/
if ordinal(1,of a1-a3 b1-b3) >0;
Datalines;
1 2 3 4 5 6
1 . 3 4 5 6
1 2 3 4 0 6
;
Run;
Haikuo
Maybe it will be a bit faster if you split the expressions into two subsetting IFs. This way MIN is only executed for observations that have no missing values.
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