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Angi
Obsidian | Level 7

Hi,

I have a dataset with program ID, total number of participants, and participant count for demographic sub-categories such as age, gender, and ethnicity. Total participants should equal to the total for each sub-categories but this is not always the case.

 

I would like to do the following:

  1. Create a new variable called new_TotalParticipants with the following rules:
    1. If TotalParticipants => total count for age and total count for gender and total count for ethnicity, then new_TotalParticipants=TotalParticipants
    2. If TotalParticipants<total count for age or total count for gender or total count for ethnicity, then new_TotalParticipants=whichever total count for demographic subcategory is the highest.

 

Variables for sub-category Age = Age04 Age511 Age1214 Age1517 Age1820 Age2124 Age2544 Age4564 Age65Plus AgeUnk

Variables for sub-category Gender = Male Female GenderUnk

Variables for sub-category Ethnicity = NotHispanic MexicanChicano PuertoRican Cuban OtherHisp HispUnk

 

Data

data y.PARTICIPANTS(label='participants dataset written by Stat/Transfer Ver. 11.2.2106.0521       ');

  infile datalines dsd truncover;

  input ProgramID_:32. TotalParticipants:32. Age04:32. Age511:32. Age1214:32. Age1517:32. Age1820:32. Age2124:32. Age2544:32. Age4564:32. Age65Plus:32. AgeUnk:32. Male:32. Female:32. GenderUnk:32. NotHispanic:32. MexicanChicano:32. PuertoRican:32. Cuban:32. OtherHisp:32. HispUnk:32.;

datalines4;

1,22,0,13,9,0,0,0,0,0,0,0,12,10,0,19,0,0,0,0,3

2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

4,6,0,0,0,5,1,0,0,0,0,0,2,4,0,5,0,0,0,1,0

5,0,3,2,0,0,1,0,2,0,0,10,4,4,10,5,0,0,0,13,0

6,0,2,1,0,0,4,0,1,1,0,0,5,4,0,7,2,0,0,0,0

7,0,0,0,0,0,2,5,10,5,0,0,10,12,0,21,1,0,0,0,0

8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

12,2,0,0,0,0,0,0,0,2,0,0,0,0,2,2,0,0,0,0,0

13,25,0,0,5,20,0,0,0,0,0,0,5,20,0,22,0,0,0,3,0

14,24,0,0,5,19,0,0,0,0,0,0,12,12,0,23,0,0,0,1,0

15,0,34,54,17,5,0,10,40,20,0,0,90,90,0,170,10,0,0,0,0

16,0,0,5,20,40,10,10,30,30,10,0,75,80,0,150,5,0,0,0,0

17,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

18,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

19,9,0,0,9,0,0,0,0,0,0,0,0,9,0,6,3,0,0,0,0

20,150,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

;;;;

 

I am using SAS 9.4. 

 

Thank you!

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

I don't think it is worth the bother of the comparison to match if you have a rule to reassign as stated. If the comparison is OK then the max of the sum of each group yields the same result. Note nesting of SUM within the MAX function makes this fairly easy.

data work.PARTICIPANTS(label='participants dataset written by Stat/Transfer Ver. 11.2.2106.0521       ');
  infile datalines dsd truncover;
  input ProgramID_:32. TotalParticipants:32. Age04:32. Age511:32. Age1214:32. Age1517:32. Age1820:32. Age2124:32. Age2544:32. Age4564:32. Age65Plus:32. AgeUnk:32. Male:32. Female:32. GenderUnk:32. NotHispanic:32. MexicanChicano:32. PuertoRican:32. Cuban:32. OtherHisp:32. HispUnk:32.;
  new_totalParticipants = max( sum(of age:), sum(Male, Female, GenderUnk ), sum( NotHispanic, MexicanChicano, PuertoRican, Cuban, OtherHisp, HispUnk));
datalines4;
1,22,0,13,9,0,0,0,0,0,0,0,12,10,0,19,0,0,0,0,3
2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
4,6,0,0,0,5,1,0,0,0,0,0,2,4,0,5,0,0,0,1,0
5,0,3,2,0,0,1,0,2,0,0,10,4,4,10,5,0,0,0,13,0
6,0,2,1,0,0,4,0,1,1,0,0,5,4,0,7,2,0,0,0,0
7,0,0,0,0,0,2,5,10,5,0,0,10,12,0,21,1,0,0,0,0
8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
12,2,0,0,0,0,0,0,0,2,0,0,0,0,2,2,0,0,0,0,0
13,25,0,0,5,20,0,0,0,0,0,0,5,20,0,22,0,0,0,3,0
14,24,0,0,5,19,0,0,0,0,0,0,12,12,0,23,0,0,0,1,0
15,0,34,54,17,5,0,10,40,20,0,0,90,90,0,170,10,0,0,0,0
16,0,0,5,20,40,10,10,30,30,10,0,75,80,0,150,5,0,0,0,0
17,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
18,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
19,9,0,0,9,0,0,0,0,0,0,0,0,9,0,6,3,0,0,0,0
20,150,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
;;;;

View solution in original post

2 REPLIES 2
ballardw
Super User

I don't think it is worth the bother of the comparison to match if you have a rule to reassign as stated. If the comparison is OK then the max of the sum of each group yields the same result. Note nesting of SUM within the MAX function makes this fairly easy.

data work.PARTICIPANTS(label='participants dataset written by Stat/Transfer Ver. 11.2.2106.0521       ');
  infile datalines dsd truncover;
  input ProgramID_:32. TotalParticipants:32. Age04:32. Age511:32. Age1214:32. Age1517:32. Age1820:32. Age2124:32. Age2544:32. Age4564:32. Age65Plus:32. AgeUnk:32. Male:32. Female:32. GenderUnk:32. NotHispanic:32. MexicanChicano:32. PuertoRican:32. Cuban:32. OtherHisp:32. HispUnk:32.;
  new_totalParticipants = max( sum(of age:), sum(Male, Female, GenderUnk ), sum( NotHispanic, MexicanChicano, PuertoRican, Cuban, OtherHisp, HispUnk));
datalines4;
1,22,0,13,9,0,0,0,0,0,0,0,12,10,0,19,0,0,0,0,3
2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
4,6,0,0,0,5,1,0,0,0,0,0,2,4,0,5,0,0,0,1,0
5,0,3,2,0,0,1,0,2,0,0,10,4,4,10,5,0,0,0,13,0
6,0,2,1,0,0,4,0,1,1,0,0,5,4,0,7,2,0,0,0,0
7,0,0,0,0,0,2,5,10,5,0,0,10,12,0,21,1,0,0,0,0
8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
12,2,0,0,0,0,0,0,0,2,0,0,0,0,2,2,0,0,0,0,0
13,25,0,0,5,20,0,0,0,0,0,0,5,20,0,22,0,0,0,3,0
14,24,0,0,5,19,0,0,0,0,0,0,12,12,0,23,0,0,0,1,0
15,0,34,54,17,5,0,10,40,20,0,0,90,90,0,170,10,0,0,0,0
16,0,0,5,20,40,10,10,30,30,10,0,75,80,0,150,5,0,0,0,0
17,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
18,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
19,9,0,0,9,0,0,0,0,0,0,0,0,9,0,6,3,0,0,0,0
20,150,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
;;;;
Angi
Obsidian | Level 7
Thank you for posting the solution!!!

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