Hi All,
I want to transpose the following dataset
| id | d | amt | 
| x001 | 12 | 1000 | 
| x002 | 10 | 1000 | 
| x002 | 11 | 2000 | 
| x002 | 12 | 3000 | 
| x003 | 13 | 1000 | 
| x003 | 15 | 3000 | 
| x004 | 23 | 1000 | 
| x005 | 13 | 4000 | 
| x005 | 14 | 2000 | 
| x005 | 16 | 3000 | 
| x005 | 17 | 4000 | 
| x005 | 18 | 1000 | 
and I am trying to get following output
| d1 | d2 | d3 | d4 | d5 | a1 | a2 | a3 | a4 | a5 | |
| x001 | 12 | 1000 | ||||||||
| x002 | 10 | 11 | 12 | 1000 | 2000 | 3000 | ||||
| x003 | 13 | 15 | 1000 | 3000 | ||||||
| x004 | 23 | 1000 | ||||||||
| x005 | 13 | 14 | 16 | 17 | 18 | 4000 | 2000 | 3000 | 4000 | 1000 | 
However, if I write the following program I get values of different columns in different rows.
proc transpose data=Y out=check  ;
id ID;
var d amt;
run;
I tried the same. Transposed and then merged. I was wondering if there is any other option.
I think you need to do transposes and then do a merge of those two datasets.
Or you can use a really handy macro written by some users on here called 'A better way to flip'
http://www.sascommunity.org/wiki/A_Better_Way_to_Flip_(Transpose)_a_SAS_Dataset
I think you need to do transposes and then do a merge of those two datasets.
Or you can use a really handy macro written by some users on here called 'A better way to flip'
http://www.sascommunity.org/wiki/A_Better_Way_to_Flip_(Transpose)_a_SAS_Dataset
I tried the same. Transposed and then merged. I was wondering if there is any other option.
1)
Yes. there are another option. MERGE skill proposed by Me,Arthur,Matt.
http://support.sas.com/resources/papers/proceedings15/2785-2015.pdf
data have;
infile cards expandtabs truncover;
input id $ d	amt;
cards;
x001	12	1000
x002	10	1000
x002	11	2000
x002	12	3000
x003	13	1000
x003	15	3000
x004	23	1000
x005	13	4000
x005	14	2000
x005	16	3000
x005	17	4000
x005	18	1000
;
run;
data have;
 set have;
 by id;
 if first.id then n=0;
 n+1;
run;
proc sql;
select distinct catt('have(where=(n=',n,') rename=(d=d',n,' amt=amt',n,'))')
 into : merge separated by ' '
  from have;
quit;
data want;
 merge &merge;
 by id;
 drop n;
run;
proc print;run;
2) Or another option is IDGROUPS
data have;
infile cards expandtabs truncover;
input id $ d	amt;
cards;
x001	12	1000
x002	10	1000
x002	11	2000
x002	12	3000
x003	13	1000
x003	15	3000
x004	23	1000
x005	13	4000
x005	14	2000
x005	16	3000
x005	17	4000
x005	18	1000
;
run;
proc sql;
select max(n) into :n 
 from 
 (select count(*) as n from have group by id);
quit;
proc summary data=have;
by id;
output out=want idgroups(out[&n] (d amt)=);
run;
proc print;run;
					
				
			
			
				
			
			
			
			
			
			
			
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