Documentation Example 5 for PROC MI
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: MIEX5 */
/* TITLE: Documentation Example 5 for PROC MI */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: multiple imputation */
/* PROCS: MI */
/* DATA: */
/* */
/* SUPPORT: Yang Yuan UPDATE: Aug 21, 2007 */
/* REF: PROC MI, EXAMPLE 5 */
/* MISC: */
/****************************************************************/
*-----------------------------Fish2 Data-----------------------------*
| The data set contains two species of the fish (Parkki and Perch) |
| and two measurements: Length and Width. |
| Some values have been set to missing, and the resulting data set |
| has a monotone missing pattern in the variables |
| Length, Width, and Species. |
*--------------------------------------------------------------------*;
data Fish2;
title 'Fish Measurement Data';
input Species $ Length Width @@;
datalines;
Parkki 16.5 2.3265 Parkki 17.4 2.3142 . 19.8 .
Parkki 21.3 2.9181 Parkki 22.4 3.2928 . 23.2 3.2944
Parkki 23.2 3.4104 Parkki 24.1 3.1571 . 25.8 3.6636
Parkki 28.0 4.1440 Parkki 29.0 4.2340 Perch 8.8 1.4080
. 14.7 1.9992 Perch 16.0 2.4320 Perch 17.2 2.6316
Perch 18.5 2.9415 Perch 19.2 3.3216 . 19.4 .
Perch 20.2 3.0502 Perch 20.8 3.0368 Perch 21.0 2.7720
Perch 22.5 3.5550 Perch 22.5 3.3075 . 22.5 .
Perch 22.8 3.5340 . 23.5 . Perch 23.5 3.5250
Perch 23.5 3.5250 Perch 23.5 3.5250 Perch 23.5 3.9950
. 24.0 . Perch 24.0 3.6240 Perch 24.2 3.6300
Perch 24.5 3.6260 Perch 25.0 3.7250 . 25.5 3.7230
Perch 25.5 3.8250 Perch 26.2 4.1658 Perch 26.5 3.6835
. 27.0 4.2390 Perch 28.0 4.1440 Perch 28.7 5.1373
. 28.9 4.3350 . 28.9 . . 28.9 4.5662
Perch 29.4 4.2042 Perch 30.1 4.6354 Perch 31.6 4.7716
Perch 34.0 6.0180 . 36.5 6.3875 . 37.3 7.7957
. 39.0 . . 38.3 . Perch 39.4 6.2646
Perch 39.3 6.3666 Perch 41.4 7.4934 Perch 41.4 6.0030
Perch 41.3 7.3514 . 42.3 . Perch 42.5 7.2250
Perch 42.4 7.4624 Perch 42.5 6.6300 Perch 44.6 6.8684
Perch 45.2 7.2772 Perch 45.5 7.4165 Perch 46.0 8.1420
Perch 46.6 7.5958
;
proc mi data=Fish2 seed=7545417 nimpute=3 out=outex5;
class Species;
monotone discrim( Species= Length Width/ details);
var Length Width Species;
run;
proc print data=outex5(obs=10);
title 'First 10 Observations of the Imputed Data Set';
run;