Hello, I am trying to do some imputation with SAS, and repeated with fixed seed. I tried a simple one. it works.
But when I change the data and codes: 1. x and y are category var while v and w are continuous var; 2 add out=out_data; 3. change imputation method from MCMC to FCS; It did not work.
I am a beginner for MACRO. Could anyone help me for this problem?
Many thanks
/*work*/
data eq;
input y x z w;
cards;
1 23 45 19
0 32 20 .
1 67 . .
1 . . .
;
run;
%macro mi(in_data);
proc mi data = &in_data nimpute=&n_imp seed= &&my_seed&i;
mcmc chain=multiple initial=em(itprint);
var y x z w;
run;
%mend mi;
%macro try(in_data,n_imp,in_seed,n_boot);
data seed_long(drop=i);
call streaminit(&in_seed);
do i = 1 to &n_boot;
x_seed = floor(rand("Uniform")*500000); output;
end;
run;
data _null_;
set seed_long;
call symput('my_seed'|| compress(put(_n_,8.)), x_seed);
run;
%let i=1;
%do %until (&i>&n_boot) ;
%mi(&in_data)
%let i = %eval(&i+1);
%end;
%mend try;
%try(eq,5,123,3)
%put _global_;
/*not work*/
data eq1;
input ID y x z w;
cards;
1 1 23 0 19
2 0 32 1 .
3 1 67 . .
3 1 . 1 3
;
run;
%macro mi(in_data);
proc mi data = &in_data out=out_data nimpute=&n_imp seed= &&my_seed&i;
CLASS y;
FCS REG (x w)
LOGISTIC (y );
VAR y x z w;
run;
%mend mi;
proc genmod data = out_data ;
class ID;
model y = x z w/dist=bin;
repeated subject=ID/type=ind;
by _imputation_;
ods output ParameterEstimates=mvn;
run; quit;
proc mianalyze parms=mvn;
modeleffects x;
ods output ParameterEstimates=sim_y;
run;
%macro try(in_data,n_imp,in_seed,n_boot);
data seed_long(drop=i);
call streaminit(&in_seed);
do i = 1 to &n_boot;
x_seed = floor(rand("Uniform")*500000); output;
end;
run;
data _null_;
set seed_long;
call symput('my_seed'|| compress(put(_n_,8.)), x_seed);
run;
%let i=1;
%do %until (&i>&n_boot) ;
%mi(&in_data)
%let i = %eval(&i+1);
%end;
%mend try;
%try(eq1,5,123,3)
%put _global_;
