Hi
my data looks like this:
data have; input id $ year variable1 variable2 variable3 variable4 variable5 variable6 variable7
x 1999 0 1 0 1 0 0
x 2005 1 1 1 1 1 1
x 2006 0 1 0 1 0 0
y 1989 1 1 1 1 1 1
y 2010 0 1 0 1 0 0
I want to condense all IDs to 1 row so my data will look like this:
id year variable 2 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 7 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 2 variable 3 variable 4 variable 5 variable 6 variable 7
id year variable 2 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 7 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 2 variable 3 variable 4 variable 5 variable 6 variable 7
x 1999 0 1 0 1 0 0 2005 1 1 1 1 1 1 2006 0 1 0 1 0 0
y 1989 1 1 1 1 1 1 2010 0 1 0 1 0 0
z 2000 1 1 1 1 1 1 2003 0 1 0 1 0 0 2004 1 1 1 1 1 1
Thanks!
data have; input id $ year variable1 variable2 variable3 variable4 variable5 variable6 variable7
x 1999 0 1 0 1 0 0
x 2005 1 1 1 1 1 1
x 2006 0 1 0 1 0 0
y 1989 1 1 1 1 1 1
y 2010 0 1 0 1 0 0
This is not working SAS code. Could you please fix it (and also please test your code before you provide it). Thanks!
data regd.have; input id $ year $ variable1 $ variable2 $ variable3 $ variable4 $ variable5 $ variable6 $ variable7;datalines;
x 1999 0 1 0 1 0 0 0
x 2005 1 1 1 1 1 1 0
x 2006 0 1 0 1 0 0 0
y 1989 1 1 1 1 1 1 0
y 2010 0 1 0 1 0 0 0
;
here is the correct code for the data
data have;
input id $ year $ variable1 $ variable2 $ variable3 $ variable4 $ variable5 $ variable6 $ variable7;
datalines;
x 1999 0 1 0 1 0 0 0
x 2005 1 1 1 1 1 1 0
x 2006 0 1 0 1 0 0 0
y 1989 1 1 1 1 1 1 0
y 2010 0 1 0 1 0 0 0
;
data temp;
set have;
by id;
if first.id then n=0;
n+1;
run;
proc sql noprint;
select distinct catt('temp(where=(n=',n,') rename=(year=year',n,' variable1-variable7=variable',n,'_1-variable',n,'_7))')
into : merge separated by ' '
from temp;
quit;
data want;
merge &merge.;
by id;
drop n;
run;
Hi, I have this data
data regd.have; input id $ year $ FD $ REPORTING $ variable3 $ variable4 $ variable5 $ variable6 $ variable7;datalines;
x 1999 0 1 0 1 0 0 0
x 2005 1 1 1 1 1 1 0
x 2006 0 1 0 1 0 0 0
y 1989 1 1 1 1 1 1 0
y 2010 0 1 0 1 0 0 0
;
I want to condense all IDs to 1 row so my data will look like this:, Meaning i want to copy each row to the row above - if it has same cik.
id year variable 2 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 7 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 2 variable 3 variable 4 variable 5 variable 6 variable 7
id year variable 2 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 7 variable 3 variable 4 variable 5 variable 6 variable 8 year variable 2 variable 3 variable 4 variable 5 variable 6 variable 7
x 1999 0 1 0 1 0 0 2005 1 1 1 1 1 1 2006 0 1 0 1 0 0
y 1989 1 1 1 1 1 1 2010 0 1 0 1 0 0
z 2000 1 1 1 1 1 1 2003 0 1 0 1 0 0 2004 1 1 1 1 1 1
Please do not start new threads for the same question.
Yes. you need to write right variable names if your variable names are different with variable1 variable2..... My macro variable contains the following code : temp(where=(n=1) rename=(year=year1 variable1-variable7=variable1_1-variable1_7)) temp(where=(n=2) rename=(year=year2 variable1-variable7=variable2_1-variable2_7)) temp(where=(n=3) rename=(year=year3 variable1-variable7=variable3_1-variable3_7))
A dataset structure like this is not possible, as you cannot have multiple variables with the same name.
Also, such a wide structure is VERY hard to handle in future code; it only makes sense if this is to be a report for human consumption.
So, shall this be a report?
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