Hi everyone,
i have a dataset like posted below:
data abc;
input subjid incl1 incl2 incl3 excl1 excl2 excl3;
cards;
001 1 1 1 0 1 0
002 0 0 0 1 1 0
003 1 0 1 1 0 0
005 1 1 1 1 1 0
006 1 0 1 1 1 0
007 1 0 1 1 1 1
;
run;
i want to produce an output dataset exactly like posted below by using the above mentioned ABC dataset.
SUBJID |
TYPE |
RESPONSE |
001 |
INCL1 |
1 |
001 |
INCL2 |
0 |
001 |
INCL3 |
1 |
001 |
exCL4 |
1 |
001 |
exCL5 |
1 |
001 |
exCL6 |
1 |
002 |
INCL1 |
1 |
002 |
INCL2 |
0 |
002 |
INCL3 |
0 |
002 |
exCL4 |
1 |
002 |
exCL5 |
0 |
002 |
exCL6 |
0 |
003 |
INCL1 |
1 |
003 |
INCL2 |
0 |
003 |
INCL3 |
1 |
003 |
exCL4 |
1 |
003 |
exCL5 |
1 |
003 |
exCL6 |
1 |
004 |
INCL1 |
0 |
004 |
INCL2 |
1 |
004 |
INCL3 |
1 |
004 |
exCL4 |
1 |
004 |
INCL5 |
1 |
004 |
INCL6 |
1 |
005 |
INCL1 |
1 |
005 |
INCL2 |
1 |
005 |
INCL3 |
0 |
005 |
exCL4 |
1 |
005 |
exCL5 |
1 |
005 |
exCL6 |
1 |
006 |
INCL1 |
1 |
006 |
INCL2 |
0 |
006 |
INCL3 |
1 |
006 |
exCL4 |
1 |
006 |
exCL5 |
1 |
006 |
exCL6 |
1 |
007 |
INCL1 |
0 |
007 |
INCL2 |
0 |
007 |
INCL3 |
0 |
007 |
exCL4 |
0 |
007 |
exCL5 |
0 |
007 |
exCL6 |
1 |
Any thoughts how to
Please try this:
proc transpose data=abc out=want (rename=(col1=response)) name=type;
var incl1 incl2 incl3 excl1 excl2 excl3;
by subjid;
run;
Best,
Please try this:
proc transpose data=abc out=want (rename=(col1=response)) name=type;
var incl1 incl2 incl3 excl1 excl2 excl3;
by subjid;
run;
Best,
Here is a data step approach
data want (keep= subjid type response);
set abc;
array a {*} incl: excl:;
do _N_ = 1 to dim(a);
type = vname(a[_N_]);
response = a[_N_];
output;
end;
run;
Available on demand!
Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Select SAS Training centers are offering in-person courses. View upcoming courses for: