I have a data set that's been transposed already. I'm trying to find a way to replace the 1's with the numeric value it corresponds to in the variable field. I'm trying to un-transpose the variable and make the table long and skinny rather than wide. I'm also trying to replace the variable names with one name as 'COND_C'.
There are roughly 90 variables that start at CC1 and end in CC189. I tried it with an if statement but it did not capture it correctly.
| ID | CC1 | CC2 | CC6 | CC8 | CC9 | CC100 | CC108 |
| 123 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 124 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 125 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
This is what I would like the output to look like.
| ID | COND_C |
| 123 | 1 |
| 123 | 100 |
| 124 | 2 |
| 124 | 100 |
| 125 | 1 |
| 125 | 8 |
data have;
input ID$ CC1 CC2 CC6 CC8 CC9 CC100 CC108;
cards;
123 1 0 0 0 0 1 0
124 0 1 0 0 0 1 0
125 1 0 0 1 0 0 0
;
run;
data want;
set have;
array C_[*] CC:;
do i = 1 to dim(C_);
if C_[i] > 0 then
COND_C=input(compress(vname(C_[i]),'CC'),8.);
else continue;
output;
end;
drop CC:;
run;
Do a wide to long proc transpose and filter out all the 0's.
proc transpose data=have out=want(where=(col1 ne 0) rename = _name_ = cond_c);
by ID;
var CC1-CC189;
run;
data have;
input ID$ CC1 CC2 CC6 CC8 CC9 CC100 CC108;
cards;
123 1 0 0 0 0 1 0
124 0 1 0 0 0 1 0
125 1 0 0 1 0 0 0
;
run;
data want;
set have;
array C_[*] CC:;
do i = 1 to dim(C_);
if C_[i] > 0 then
COND_C=input(compress(vname(C_[i]),'CC'),8.);
else continue;
output;
end;
drop CC:;
run;
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