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Lapis Lazuli | Level 10

I have a really large dataset that looks like this:


ID   A B C -- ZZ A_new B_new C-new -- ZZ_new

1     0 1 1 --   1    1          1         0              0





I want to perform a test of agreement between all variables of the same name + the suffix




proc freq data=dat;

     table A*A_new / agree;

     table B*B_new / agree;




I dont think we can use an array to do a SAS procedure - but is there another way to do this without have to write down every variable name?





Lapis Lazuli | Level 10

Another importnat thing to note is that I only really care about p-values for the kappa statistics right now. Ideally, I could output to a dataset and then sort by p-value to get the variables that are significant. 

Super User
I would recommend transposing your data so you can use a BY statement instead.
Lapis Lazuli | Level 10

so I converted to longitudinal, extra vairable being new = 1 or 0. Buy how do a get a kappa statistic with a by statement?

Super User
I would structure my data as:

ID Code Old New
1 A 1 1
1 B 0 1

etc then do:

proc freq data=have;
by code;
table old*new / agree ;
Lapis Lazuli | Level 10

So what I did was concatenate the text to trigger the macro for all the variables in my data:


proc sql;
select cat('%mymacro(',name, ',', cats(name, '_new' ),')') into :renstr separated by ' ' from
dictionary.columns where libname = 'WORK' and memname='DATA';


Then I just copied and pasted the result into my SAS code.... 

Super User
Or add CALL EXECUTE which would just call the string so you don't have to copy it and run it manually



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