My data is as follows:
data test;
input facilities_name $ sex totalpatients;
datalines;
ABCD 1 1850
CDXF 0 1234
XYZ 1 34567
qwerty 1 123
ASDF 0 1345567
rtyu 0 45
;
run;
I have to populate following table:
| Sex |
Total no of male(1) | 3 |
Total no of female(0) | 3 |
Facility rank by Totalpatients |
|
Quartile 1 (25)(mean N = XXX) | (No of facilities) |
Quartile 2 (50) |
|
Quartile 3 (75) |
|
Quartile 4 (100) |
|
All suggestions are welcomed!
1. Use PROC RANK with GROUPS=4 to get the quartile.
2. Use that data set with PROC MEANS to get the N and Mean
@pmpradhan wrote:
My data is as follows:
data test;
input facilities_name $ sex totalpatients;
datalines;
ABCD 1 1850
CDXF 0 1234
XYZ 1 34567
qwerty 1 123
ASDF 0 1345567
rtyu 0 45
;
run;
I have to populate following table:
Sex
Total no of male(1)
3
Total no of female(0)
3
Facility rank by Totalpatients
Quartile 1 (25)(mean N = XXX)
(No of facilities)
Quartile 2 (50)
Quartile 3 (75)
Quartile 4 (100)
All suggestions are welcomed!
1. Use PROC RANK with GROUPS=4 to get the quartile.
2. Use that data set with PROC MEANS to get the N and Mean
@pmpradhan wrote:
My data is as follows:
data test;
input facilities_name $ sex totalpatients;
datalines;
ABCD 1 1850
CDXF 0 1234
XYZ 1 34567
qwerty 1 123
ASDF 0 1345567
rtyu 0 45
;
run;
I have to populate following table:
Sex
Total no of male(1)
3
Total no of female(0)
3
Facility rank by Totalpatients
Quartile 1 (25)(mean N = XXX)
(No of facilities)
Quartile 2 (50)
Quartile 3 (75)
Quartile 4 (100)
All suggestions are welcomed!
Can you please post code as well. Thank you!
I think you need to give it a try yourself, and if you can't get it to work, show us the code and log.
You can look up PROC RANK and PROC MEANS in the documentation, they are relatively simple by SAS standards.
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