data strength;
input id program$ s1 s2 s3 s4 s5 s6 s7;
datalines;
1 co 81 84 83 83 85 85 85
2 co 77 78 79 79 81 82 81
3 co 84 85 87 89 88 85 86
4 co 74 75 78 78 79 78 78
5 co 76 77 77 77 77 76 76
6 co 84 84 86 85 86 86 86
7 co 79 80 79 80 80 82 82
8 co 78 78 77 76 75 75 76
9 co 78 80 77 77 75 75 75
10 co 84 85 85 85 85 83 82
11 co 83 83 85 85 86 87 87
12 RI 79 82 82 83 84 84 82
13 RI 88 89 91 90 93 93 95
14 RI 83 83 84 83 84 86 86
15 RI 81 81 82 82 82 83 85
16 RI 87 88 90 89 89 91 93
17 RI 80 82 83 85 86 88 88
18 RI 82 83 84 84 83 85 87
19 RI 84 85 85 85 86 88 90
20 RI 80 80 82 83 83 84 85
21 RI 85 87 88 88 90 90 91
22 RI 87 88 88 87 87 86 86
;
run;
proc print data=strength;
run;
proc means data=strength mean std var;
var s1 s2 s3 s4 s5 s6 s7;
by program;
run;
You have to sort your data appropriately first
proc sort data=strength;
by program;
run;
proc means data=strength mean std var;
by program;
var s1 s2 s3 s4 s5 s6 s7;
run;
You have to sort your data appropriately first
proc sort data=strength;
by program;
run;
proc means data=strength mean std var;
by program;
var s1 s2 s3 s4 s5 s6 s7;
run;
Thank you
Maxim 2: Read the Log.
If it does not give you a clue right away, post it here, using the {i} button.
thank you
The output would look slightly different but you can use a CLASS statement instead of BY which will not generate the not sorted by BY variables error.
proc means strength=have mean std var; var s1 s2 s3 s4 s5 s6 s7; class program; run;
If you have large data with lots of values for the class variables there can be performance issues.
thank you
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.