GENLIN
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When trying to shorten a GENLIN command by using a shortened list of variables (with the command "to"), SPSS returns an error message.
Variable name to specified for subcommand MODEL is not a valid variable name. Execution of this command stops. Here the short version (that produces the error message): * Generalized Linear Models. GENLIN TotalScore WITH GoalT1_mean GoalT2_mean Team1ID_dummy_1 to Team2ID_dummy_33 /MODEL GoalT1_mean GoalT2_mean Team1ID_dummy_1 to Team2ID_dummy_33 INTERCEPT=YES DISTRIBUTION=NEGBIN(1) LINK=LOG /CRITERIA METHOD=FISHER(1) SCALE=1 COVB=MODEL MAXITERATIONS=100 MAXSTEPHALVING=5 PCONVERGE=1E-006(ABSOLUTE) SINGULAR=1E-012 ANALYSISTYPE=3(WALD) CILEVEL=95 CITYPE=WALD LIKELIHOOD=FULL /MISSING CLASSMISSING=EXCLUDE /PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION /SAVE MEANPRED. Here the full command that works: * Generalized Linear Models. GENLIN TotalScore WITH GoalT1_mean GoalT2_mean Team1ID_dummy_1 Team1ID_dummy_2 Team1ID_dummy_3 Team1ID_dummy_4 Team1ID_dummy_5 Team1ID_dummy_6 Team1ID_dummy_7 Team1ID_dummy_8 Team1ID_dummy_9 Team1ID_dummy_10 Team1ID_dummy_11 Team1ID_dummy_12 Team1ID_dummy_13 Team1ID_dummy_14 Team1ID_dummy_15 Team1ID_dummy_16 Team1ID_dummy_17 Team1ID_dummy_18 Team1ID_dummy_19 Team1ID_dummy_20 Team1ID_dummy_21 Team1ID_dummy_22 Team1ID_dummy_23 Team1ID_dummy_24 Team1ID_dummy_25 Team1ID_dummy_26 Team1ID_dummy_27 Team1ID_dummy_28 Team1ID_dummy_29 Team1ID_dummy_30 Team1ID_dummy_31 Team1ID_dummy_32 Team1ID_dummy_33 Team1ID_dummy_34 Team1ID_dummy_35 Team1ID_dummy_36 Team1ID_dummy_37 Team1ID_dummy_38 Team1ID_dummy_39 Team1ID_dummy_40 Team1ID_dummy_41 Team1ID_dummy_42 Team1ID_dummy_43 Team1ID_dummy_44 Team1ID_dummy_45 Team1ID_dummy_46 Team1ID_dummy_47 Team1ID_dummy_48 Team1ID_dummy_49 Team1ID_dummy_50 Team1ID_dummy_51 Team1ID_dummy_52 Team1ID_dummy_53 Team1ID_dummy_54 Team1ID_dummy_55 Team1ID_dummy_56 Team1ID_dummy_57 Team1ID_dummy_58 Team1ID_dummy_59 Team1ID_dummy_60 Team1ID_dummy_61 Team1ID_dummy_62 Team1ID_dummy_63 Team1ID_dummy_64 Team1ID_dummy_65 Team1ID_dummy_66 Team1ID_dummy_67 Team1ID_dummy_68 Team1ID_dummy_69 Team1ID_dummy_70 Team1ID_dummy_71 Team1ID_dummy_72 Team2ID_dummy_1 Team2ID_dummy_2 Team2ID_dummy_3 Team2ID_dummy_4 Team2ID_dummy_5 Team2ID_dummy_6 Team2ID_dummy_7 Team2ID_dummy_8 Team2ID_dummy_9 Team2ID_dummy_10 Team2ID_dummy_11 Team2ID_dummy_12 Team2ID_dummy_13 Team2ID_dummy_14 Team2ID_dummy_15 Team2ID_dummy_16 Team2ID_dummy_17 Team2ID_dummy_18 Team2ID_dummy_19 Team2ID_dummy_20 Team2ID_dummy_21 Team2ID_dummy_22 Team2ID_dummy_23 Team2ID_dummy_24 Team2ID_dummy_25 Team2ID_dummy_26 Team2ID_dummy_27 Team2ID_dummy_28 Team2ID_dummy_29 Team2ID_dummy_30 Team2ID_dummy_31 Team2ID_dummy_32 Team2ID_dummy_33 /MODEL GoalT1_mean GoalT2_mean Team1ID_dummy_1 Team1ID_dummy_2 Team1ID_dummy_3 Team1ID_dummy_4 Team1ID_dummy_5 Team1ID_dummy_6 Team1ID_dummy_7 Team1ID_dummy_8 Team1ID_dummy_9 Team1ID_dummy_10 Team1ID_dummy_11 Team1ID_dummy_12 Team1ID_dummy_13 Team1ID_dummy_14 Team1ID_dummy_15 Team1ID_dummy_16 Team1ID_dummy_17 Team1ID_dummy_18 Team1ID_dummy_19 Team1ID_dummy_20 Team1ID_dummy_21 Team1ID_dummy_22 Team1ID_dummy_23 Team1ID_dummy_24 Team1ID_dummy_25 Team1ID_dummy_26 Team1ID_dummy_27 Team1ID_dummy_28 Team1ID_dummy_29 Team1ID_dummy_30 Team1ID_dummy_31 Team1ID_dummy_32 Team1ID_dummy_33 Team1ID_dummy_34 Team1ID_dummy_35 Team1ID_dummy_36 Team1ID_dummy_37 Team1ID_dummy_38 Team1ID_dummy_39 Team1ID_dummy_40 Team1ID_dummy_41 Team1ID_dummy_42 Team1ID_dummy_43 Team1ID_dummy_44 Team1ID_dummy_45 Team1ID_dummy_46 Team1ID_dummy_47 Team1ID_dummy_48 Team1ID_dummy_49 Team1ID_dummy_50 Team1ID_dummy_51 Team1ID_dummy_52 Team1ID_dummy_53 Team1ID_dummy_54 Team1ID_dummy_55 Team1ID_dummy_56 Team1ID_dummy_57 Team1ID_dummy_58 Team1ID_dummy_59 Team1ID_dummy_60 Team1ID_dummy_61 Team1ID_dummy_62 Team1ID_dummy_63 Team1ID_dummy_64 Team1ID_dummy_65 Team1ID_dummy_66 Team1ID_dummy_67 Team1ID_dummy_68 Team1ID_dummy_69 Team1ID_dummy_70 Team1ID_dummy_71 Team1ID_dummy_72 Team2ID_dummy_1 Team2ID_dummy_2 Team2ID_dummy_3 Team2ID_dummy_4 Team2ID_dummy_5 Team2ID_dummy_6 Team2ID_dummy_7 Team2ID_dummy_8 Team2ID_dummy_9 Team2ID_dummy_10 Team2ID_dummy_11 Team2ID_dummy_12 Team2ID_dummy_13 Team2ID_dummy_14 Team2ID_dummy_15 Team2ID_dummy_16 Team2ID_dummy_17 Team2ID_dummy_18 Team2ID_dummy_19 Team2ID_dummy_20 Team2ID_dummy_21 Team2ID_dummy_22 Team2ID_dummy_23 Team2ID_dummy_24 Team2ID_dummy_25 Team2ID_dummy_26 Team2ID_dummy_27 Team2ID_dummy_28 Team2ID_dummy_29 Team2ID_dummy_30 Team2ID_dummy_31 Team2ID_dummy_32 Team2ID_dummy_33 INTERCEPT=YES DISTRIBUTION=NEGBIN(1) LINK=LOG /CRITERIA METHOD=FISHER(1) SCALE=1 COVB=MODEL MAXITERATIONS=100 MAXSTEPHALVING=5 PCONVERGE=1E-006(ABSOLUTE) SINGULAR=1E-012 ANALYSISTYPE=3(WALD) CILEVEL=95 CITYPE=WALD LIKELIHOOD=FULL /MISSING CLASSMISSING=EXCLUDE /PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION /SAVE MEANPRED.
Dr. Frank Gaeth
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In reply to this post by drfg2008
Frank, rather than using (what appears to be) 33 dummy variables each for team 1 and team 2, why not use two categorical variables TEAM1 and TEAM2, each having 34 possible values? These could then be included as "factors" (following the keyword BY) rather than as "covariates" (which follow the keyword WITH). E.g.,
GENLIN TotalScore WITH GoalT1_mean GoalT2_mean BY Team1 Team2 /MODEL GoalT1_mean GoalT2_mean Team1 Team2 INTERCEPT=YES DISTRIBUTION=NEGBIN(1) LINK=LOG /CRITERIA METHOD=FISHER(1) SCALE=1 COVB=MODEL MAXITERATIONS=100 MAXSTEPHALVING=5 PCONVERGE=1E-006(ABSOLUTE) SINGULAR=1E-012 ANALYSISTYPE=3(WALD) CILEVEL=95 CITYPE=WALD LIKELIHOOD=FULL /MISSING CLASSMISSING=EXCLUDE /PRINT CPS DESCRIPTIVES MODELINFO FIT SUMMARY SOLUTION /SAVE MEANPRED. HTH.
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Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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