Hi,
I posted my question yesterday, but realized there were some errors as
Nick rightly pointed out. Here is another attempt at what I am trying
to do.
Assume my data is as follows:-
id q23 q24 q25 q29 q30 q31
1 3 1 1 4
2 4 2 3 5 3 2
3 2 2
4 3 3
5 1 3 2 4 6 1
q23-q25 and q29-q31 are categorical variables.
q23-q25 each has 4 categories 1, 2, 3 & 4. I want to ignore category 4.
q29-q31 each has 6 categories 1, 2, 3, 4, 5 & 6. I want to ignore category 6.
I am interested in a cross tabulation.
Here's what I need:-
count if q23==1 & (q29==1 | q29==2);
count if q24==1 & (q30==1 | q30==2);
count if q25==1 & (q31==1 | q31==2);
/* I then need to sum these */; Lets call the total "a"
count if q23==1 & q29==3;
count if q24==1 & q30==3;
count if q25==1 & q31==3;
/* I then need to sum these */; Lets call the total "b"
count if q23==1 & q29==4;
count if q24==1 & q30==4;
count if q25==1 & q31==4;
/* I then need to sum these */; Lets call the total "c"
count if q23==1 & q29==5;
count if q24==1 & q30==5;
count if q25==1 & q31==5;
/* I then need to sum these */; Lets call the total "d"
THEN GO THROUGH THE SAME PROCEDURE using q23=2, q24=2 & q25=2. Assume
the four values generated are e, f, g and h
FINALLY DO THE SAME using q23=3, q24=3 & q25=3. Assume the four values
generated are i, j, k and l
I finally need the results in a table such as
NP FP G
< 24% a e i
25-49% b f j
50-74% c g k
75% d h l
I am using STATA 9.
Any help would be much appreciated, since it is driving me nuts!
Hugh
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