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List:       sas-l
Subject:    Regular SAS Code in Enterprise Miner 3.01
From:       Mark.K.Moran () CENSUS ! GOV
Date:       2000-09-29 12:43:23
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I am running SAS 6.12, using Enterprise Miner.  This is all with the regular
program editor though, not the GUI.
I don't get what's going on.  Seems to be a syntax problem near the end.  Log
shown below.

-Mark

NOTE: AUTOEXEC processing beginning; file is
C:\PROGRA~1\sas\Addon\dmine3\autoexec.sas.

NOTE: Libref SAMPSIO was successfully assigned as follows:
      Engine:        V612
      Physical Name: C:\program files\sas\Addon\dmine3\sample
NOTE: SAS Enterprise Miner  version  3.01

NOTE: AUTOEXEC processing completed.

99   Options pageno=1;
100
101  libname neurout 'C:\moran004';
NOTE: Libref NEUROUT was successfully assigned as follows:
      Engine:        V612
      Physical Name: C:\moran004
102
103  Data VarStr (keep=cfn indcat strold strnew strmske strmsrpt didctact
strcents genlistr
cfnli)
104       VarEqu (keep=cfn indcat equold equnew equmske equmsrpt didctact
equcents genliequ
cfnli);
105       input CFN $10. INDCAT 12-14 STROLD 16-23 STRNEW 25-32 STRMSKE $
STRMSRPT $ DIDCTACT $
STRCENTS 42-46 GENLISTR 48 CFNLI 50;
106       output VarStr;
107       input CFN $10. INDCAT 12-14 EQUOLD 16-23 EQUNEW 25-32 EQUMSKE $
EQUMSRPT $ DIDCTACT $
EQUCENTS 42-46 GENLIEQU 48 CFNLI 50;
108       output VarEqu;
109  cards;

NOTE: The data set WORK.VARSTR has 456 observations and 10 variables.
NOTE: The data set WORK.VAREQU has 456 observations and 10 variables.
NOTE: The DATA statement used 0.62 seconds.

1022  ;
1023  run;
1024
1025  Data Neurout.VarStr2;
1026  length CFNDUS13 $ 13;
1027  set VarStr;
1028  CFNDUS13=CFN||left(indcat);
1029  if CFNLI=1 THEN TARG3="WTCHG";
1030  else if CFNLI=0 AND GENLISTR=0 THEN TARG3="NOCHG";
1031  ELSE  TARG3="UNK";
1032  if substr(left(Strold),1,1) in ('1','2') then Benfdstr='Y';
1033  else Benfdstr='N';
1034  stir=ranuni(144);
1035  run;

NOTE: Numeric values have been converted to character values at the places given
 by:
      (Line):(Column).
      1028:20   1032:16
NOTE: The data set NEUROUT.VARSTR2 has 456 observations and 14 variables.
NOTE: The DATA statement used 0.42 seconds.

1036
1037  Data Neurout.VarEqu2;
1038  length CFNDUS13 $ 13;
1039  set VarEqu;
1040  CFNDUS13=CFN||left(indcat);
1041  if CFNLI=1 THEN TARG3="WTCHG";
1042  else if CFNLI=0 AND GENLIEQU=0 THEN TARG3="NOCHG";
1043  ELSE  TARG3="UNK";
1044  if substr(left(Equold),1,1) in ('1','2') then Benfdequ='Y';
1045  else Benfdequ='N';
1046  stir=ranuni(312);
1047  run;

NOTE: Numeric values have been converted to character values at the places given
 by:
      (Line):(Column).
      1040:20   1044:16
NOTE: The data set NEUROUT.VAREQU2 has 456 observations and 14 variables.
NOTE: The DATA statement used 0.23 seconds.

1048
1049
1050
1051  proc sort data=neurout.VarStr2 out=neurout.VarStr2 (drop= stir);
1052    by stir;
1053  run;

NOTE: The data set NEUROUT.VARSTR2 has 456 observations and 13 variables.
NOTE: The PROCEDURE SORT used 0.14 seconds.

1054
1055
1056
1057  proc sort data=neurout.VarEqu2 out=neurout.VarEqu2 (drop= stir);
1058    by stir;
1059  run;

NOTE: The data set NEUROUT.VAREQU2 has 456 observations and 13 variables.
NOTE: The PROCEDURE SORT used 0.13 seconds.

1060
1061  /* This is for the STRUCTURES dataset:  */
1062
1063  data swtchgrs sothers;
1064   set neurout.varstr2;
1065   if targ3 = 'WTCHG' then output swtchgrs;
1066   else output sothers;
1067  run;

NOTE: The data set WORK.SWTCHGRS has 40 observations and 13 variables.
NOTE: The data set WORK.SOTHERS has 416 observations and 13 variables.
NOTE: The DATA statement used 0.19 seconds.

1068
1069  data spar_wtr spar_wva spar_wte;
1070   set swtchgrs;
1071   udrn = ranuni(153);
1072   if udrn > 0.4 then output spar_wtr;
1073   else if ((udrn > 0.3) and (udrn LE 0.4)) then output spar_wva;
1074   else if (udrn LE 0.3) then output spar_wte;
1075  run;

NOTE: The data set WORK.SPAR_WTR has 21 observations and 14 variables.
NOTE: The data set WORK.SPAR_WVA has 4 observations and 14 variables.
NOTE: The data set WORK.SPAR_WTE has 15 observations and 14 variables.
NOTE: The DATA statement used 0.16 seconds.


1076
1077  data spar_otr spar_ova spar_ote;
1078   set sothers;
1079   udrn = ranuni(163);
1080   if udrn > 0.4 then output spar_otr;
1081   else if ((udrn>0.3) and (udrn LE 0.4)) then output spar_ova;
1082   else if (udrn LE 0.3) then output spar_ote;
1083  run;

NOTE: The data set WORK.SPAR_OTR has 237 observations and 14 variables.
NOTE: The data set WORK.SPAR_OVA has 40 observations and 14 variables.
NOTE: The data set WORK.SPAR_OTE has 139 observations and 14 variables.
NOTE: The DATA statement used 0.25 seconds.

1084
1085
1086
1087  data ewtchgrs eothers;
1088   set neurout.varequ2;
1089   if targ3 = 'WTCHG' then output ewtchgrs;
1090   else output eothers;
1091  run;

NOTE: The data set WORK.EWTCHGRS has 39 observations and 13 variables.
NOTE: The data set WORK.EOTHERS has 417 observations and 13 variables.
NOTE: The DATA statement used 0.16 seconds.

1092
1093  data epar_wtr epar_wva epar_wte;
1094   set ewtchgrs;
1095   udrn = ranuni(153);
1096   if udrn > 0.4 then output epar_wtr;
1097   else if ((udrn > 0.3) and (udrn LE 0.4)) then output epar_wva;
1098   else if (udrn LE 0.3) then output epar_wte;
1099  run;

NOTE: The data set WORK.EPAR_WTR has 20 observations and 14 variables.
NOTE: The data set WORK.EPAR_WVA has 4 observations and 14 variables.
NOTE: The data set WORK.EPAR_WTE has 15 observations and 14 variables.
NOTE: The DATA statement used 0.11 seconds.

1100
1101  data epar_otr epar_ova epar_ote;
1102   set eothers;
1103   udrn = ranuni(163);
1104   if udrn > 0.4 then output epar_otr;
1105   else if ((udrn>0.3) and (udrn LE 0.4)) then output epar_ova;
1106   else if (udrn LE 0.3) then output epar_ote;
1107  run;

NOTE: The data set WORK.EPAR_OTR has 238 observations and 14 variables.
NOTE: The data set WORK.EPAR_OVA has 40 observations and 14 variables.
NOTE: The data set WORK.EPAR_OTE has 139 observations and 14 variables.
NOTE: The DATA statement used 0.22 seconds.

1108
1109
1110
1111  data neurout.sbetrain;
1112   set spar_wtr
1113       spar_otr;
1114  run;

NOTE: The data set NEUROUT.SBETRAIN has 258 observations and 14 variables.
NOTE: The DATA statement used 0.23 seconds.

1115
1116  data neurout.sbevalid;
1117   set spar_wva
1118       spar_ova;
1119  run;

NOTE: The data set NEUROUT.SBEVALID has 44 observations and 14 variables.
NOTE: The DATA statement used 0.28 seconds.

1120
1121  data neurout.sbetestd;
1122   set spar_wte
1123       spar_ote;
1124  run;

NOTE: The data set NEUROUT.SBETESTD has 154 observations and 14 variables.
NOTE: The DATA statement used 0.14 seconds.

1125
1126
1127
1128  data neurout.ebetrain;
1129   set epar_wtr
1130       epar_otr;
1131  run;

NOTE: The data set NEUROUT.EBETRAIN has 258 observations and 14 variables.
NOTE: The DATA statement used 0.23 seconds.

1132
1133  data neurout.ebevalid;
1134   set epar_wva
1135       epar_ova;
1136  run;

NOTE: The data set NEUROUT.EBEVALID has 44 observations and 14 variables.
NOTE: The DATA statement used 0.12 seconds.

1137
1138  data neurout.ebetestd;
1139   set epar_wte
1140       epar_ote;
1141  run;

NOTE: The data set NEUROUT.EBETESTD has 154 observations and 14 variables.
NOTE: The DATA statement used 0.13 seconds.


1142
1143  proc dmdb batch data=neurout.sbetrain out=sdmtrain dmdbcat=scadmtra;
1144   var strold strnew strcents;
1145   class strmske(ascending) strmsrpt(ascending) didctact(ascending) targ3;
1146   target targ3;
1147  run;

Records processed=     258  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.28 seconds.

1148
1149  proc dmdb batch data=neurout.sbevalid out=sdmvalid dmdbcat=scadmval;
1150   var strold strnew strcents;
1151   class strmske(ascending) strmsrpt(ascending) didctact(ascending) targ3;
1152   target targ3;
1153  run;

Records processed=      44  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.05 seconds.


1154
1155  proc dmdb batch data=neurout.sbetestd out=sdmtestd dmdbcat=scatestd;
1156   var strold strnew strcents;
1157   class strmske(ascending) strmsrpt(ascending) didctact(ascending) targ3;
1158   target targ3;
1159  run;

Records processed=     154  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.11 seconds.

1160
1161  proc dmdb batch data=neurout.ebetrain out=edmtrain dmdbcat=ecadmtra;
1162   var equold equnew equcents;
1163   class equmske(ascending) equmsrpt(ascending) didctact(ascending) targ3;
1164   target targ3;
1165  run;

Records processed=     258  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.07 seconds.

1166
1167  proc dmdb batch data=neurout.ebevalid out=edmvalid dmdbcat=ecadmval;
1168   var equold equnew equcents;
1169   class equmske(ascending) equmsrpt(ascending) didctact(ascending) targ3;
1170   target targ3;
1171  run;

Records processed=      44  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.16 seconds.


1172
1173  proc dmdb batch data=neurout.ebetestd out=edmtestd dmdbcat=ecatestd;
1174   var equold equnew equcents;
1175   class equmske(ascending) equmsrpt(ascending) didctact(ascending) targ3;
1176   target targ3;
1177  run;

Records processed=     154  Mem used = 511K.
NOTE: The PROCEDURE DMDB used 0.08 seconds.

1178
ERROR: File WORK.DMTRAIN.DATA does not exist.
NOTE: Closing the Neural Application.
NOTE: The SAS System stopped processing this step because of errors.
NOTE: The PROCEDURE NEURAL used 0.71 seconds.

1179  proc neural data=dmtrain;
1180   input strold strnew strcents / level=int;
1181   input strmske strmsrpt didctact / level=nom;
1182   target targ3 / level=nom id=cfndus13;
1183   archi glim;
1184   score data=betrain nodmdb out=betrain2;
1185  run;
1186

1187  proc tabulate data=betrain2 format=5.0;
ERROR: File WORK.BETRAIN2.DATA does not exist.
1188   class targ3 i_targ3;
1189   table targ3 all, i_targ3 all / misstext='0' rts=8;
1190  run;

NOTE: The SAS System stopped processing this step because of errors.
NOTE: The PROCEDURE TABULATE used 0.1 seconds.

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