/******************************************************************************
 * Programme : Ejemplo de Imputación Múltiple con PROC MI
 * Reference : EJEMPLAB4F
 * Source    : https://www.wearecas.eu/en/sampleCode/EJEMPLAB4F
 ******************************************************************************/

/* --- BLOC 1 --- */
data Fitness1;
   input Oxygen RunTime RunPulse @code_sas_json/8_SAS_Intro_ReadFile_MultiCol_@@.json;
   datalines;
44.609  11.37  178     45.313  10.07  185
54.297   8.65  156     59.571    .      .
49.874   9.22    .     44.811  11.63  176
  .     11.95  176          .  10.85    .
39.442  13.08  174     60.055   8.63  170
50.541    .      .     37.388  14.03  186
44.754  11.12  176     47.273    .      .
51.855  10.33  166     49.156   8.95  180
40.836  10.95  168     46.672  10.00    .
46.774  10.25    .     50.388  10.08  168
39.407  12.63  174     46.080  11.17  156
45.441   9.63  164       .      8.92    .
45.118  11.08    .     39.203  12.88  168
45.790  10.47  186     50.545   9.93  148
48.673   9.40  186     47.920  11.50  170
47.467  10.50  170
;


/* --- BLOC 2 --- */
ods graphics on;
proc mi data=Fitness1 seed=501213 nimpute=5 mu0=50 10 180;
   mcmc plots=(trace(mean(Oxygen)) acf(mean(Oxygen)));
   var Oxygen RunTime RunPulse;
run;