dataset:
subj q1 q2 q3 q4 q5 q_total newvar
1 1 3.1 2.1 1 1 8.2
2 1 2.1 4.1 1 3 11.2
3 1 1.2 1 0 1.1 4.3
4 0 1 0 1 0 2
i would like to creat a new variable (newvar), where if q1 <=1 and if q2 is <= 1 and if q3 is <=1 and if qtotal is <= 8, then newvar =1 , otherwise newvar =0.
so newvar would look like:
newvar
0
0
0
1
newvar = q1 <=1 and q2 <= 1 and q3 <=1 and qtotal <= 8;
hmm im not getting newvar to equal 1 with that code
@PGStats is being very terse.
His solution works for what you are doing because SAS treats true results as 1 and false as 0. So Newvar is the result of all of those comparisons, true or false.
You may want to consider if "otherwise newvar=0" includes cases of missing values. Missing are less than any value. So in this specific interest if all of the q variables are missing then newvar would be 1.
is adding q1 ne . and q2 ne . and q3 ne . to PG's statement the best option?
Your logical expression yields true (=1) when q1, q2, q3, or q_total are missing because missing is considered by SAS as inferior to any non-missing value. You can change the expression so that missing values will yield false, as demonstrated:
data test;
input subj q1 q2 q3 q4 q5 q_total;
newvarTrue = q1 <=1 and q2 <= 1 and q3 <=1 and q_total <= 8;
newvarFalse = -q1 >= -11 and -q2 >= -1 and -q3 >= -1 and -q_total >= -8;
datalines;
1 1 3.1 2.1 1 1 8.2
2 1 2.1 4.1 1 3 11.2
3 1 1.2 1 0 1.1 4.3
4 0 1 0 1 0 2
5 . 1 0 1 0 2
;
proc print; run;
Add a comment in your code to explain the trick.
thank you very much!
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