Hi community,
Here i have a example dataset
data xxx;
input col1 col2 col3;
cards;
20 20 25.34
55 10 22.33
42 55 22.22
22 45 14.22
run;
proc print;
run;I want to summarize the value using
Var | Yes | No |
col1≥40 | 2 | 0 |
col2/col1 ratio≥1 | 1 | 0 |
col3≥25 | 1.5 | 0 |
The output should be like,
Condition:
if col11 ge 40 and ratio ge 1 and col3 ge 25 result = 4.5
| Result | |
| 2.5 | (0+1+1.5) |
| 3 | (2+1+0) |
| 2 | (2+0+0) |
| 0 | (0+0+0) |
I'm looking for Result column.
I can done this by calculate individual column. but that takes more time and line of codes.
Can anyone suggest me the effective codes to resolve this method.
Make use of the fact that boolean operations result in either 0 (false) or 1 (true), so it ends up a simple calculation:
data have;
input col1 col2 col3;
cards;
20 20 25.34
55 10 22.33
42 55 22.22
22 45 14.22
;
run;
data want;
set have;
result =
(col1 >= 40) * 2 +
(col2/col1 >= 1) +
(col3 >= 25) * 1.5
;
run;
Make use of the fact that boolean operations result in either 0 (false) or 1 (true), so it ends up a simple calculation:
data have;
input col1 col2 col3;
cards;
20 20 25.34
55 10 22.33
42 55 22.22
22 45 14.22
;
run;
data want;
set have;
result =
(col1 >= 40) * 2 +
(col2/col1 >= 1) +
(col3 >= 25) * 1.5
;
run;
Thank you for your help.. @Kurt_Bremser
I have a addition condition in this step
data have;
input gen$ col1 col2 col3;
cards;
m 20 20 25.34
f 55 10 22.33
m 42 55 22.22
f 22 45 14.22
;
run;
data want;
set have;
result =
(col1 >= 40) * 2 +
(col2/col1 >= 1) +
(col3 >= 25) * 1.5
;
run;the condition is
Var | Yes | No |
col2/col1≥0.9 (Male) and col2/col1≥0.8 (Female) | 1 | 0 |
how to add this in the step.
Thanks in advance!
Use the ifn() function to get your variable comparison values:
result2 = (col2/col1 >= ifn(gen='m',0.9,0.8));
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.