I want to take a table that has the following: there are 86k rows that vary
memberID yes no
111 0 1
222 1 0
I want my output to be:
who admission count
national yes 0
national no 1
national yes 1
national no 0
The code I have is:
data chi (drop = yes no);
set final;
array _col(2) yes no;
do _n_=1to2;
who = vname (national);
admission = vname(_col(_n_));
count = _col(_n_);
output;
end;
run;
The table looks like this:
who national admission count
national yes 0
national no 1
national yes 1
national no 0
I do not want the national colunmn. Just the who column with national in it and then admission with yes and no and then the count
Code:
DATA TEMP;
INPUT memberID     yes         no;
CARDS;
111                0            1
222                1            0
;
RUN;
data chi (drop = yes no);
set TEMP;
array _col(2) yes no;
do _n_= 1,2;
who = vname (national);
admission = vname(_col(_n_));
count = _col(_n_);
output;
end;
DROP NATIONAL;
run;
PROC PRINT;
RUN;
Output:
                         member
                        Obs      ID        who       admission    count
                         1       111     national       yes         0
                         2       111     national       no          1
                         3       222     national       yes         1
                         4       222     national       no          0
 
What is the relationship between WHO and memberID?
PG
Code:
DATA TEMP;
INPUT memberID     yes         no;
CARDS;
111                0            1
222                1            0
;
RUN;
data chi (drop = yes no);
set TEMP;
array _col(2) yes no;
do _n_= 1,2;
who = vname (national);
admission = vname(_col(_n_));
count = _col(_n_);
output;
end;
DROP NATIONAL;
run;
PROC PRINT;
RUN;
Output:
                         member
                        Obs      ID        who       admission    count
                         1       111     national       yes         0
                         2       111     national       no          1
                         3       222     national       yes         1
                         4       222     national       no          0
 
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