Hi Everyone,
I'm trying to impute 3 variables in my dataset: Country and Smoke (both binary variables) and bmi (categorical with 4 levels).
This is my code:
proc mi data= Have nimpute=5 out=Want seed=54321; class Age AR Group bmi Country Smoke; var Age AR Group bmi Country Smoke; fcs logistic(Country= Age AR Group ); fcs logistic(Smoke=Age AR Group Country); fcs discrim(bmi=Age AR Group Country Smoke/CLASSEFFECTS=INCLUDE); run;
For some reason, it gives me error. Here's the log:
proc mi data= Have nimpute=5 out=Want seed=54321; 3307 class Age AR Group bmi Country Smoke; 3308 var Age AR Group bmi Country Smoke; 3309 fcs logistic(Country= Age AR Group ); 3310 fcs logistic(Smoke=Age AR Group Country); 3311 fcs discrim(bmi=Ag AR Group Country Smoke/CLASSEFFECTS=INCLUDE); 3312 run;
WARNING: The covariates are not specified in an FCS discriminant method for variable Group, only remaining continuous variables will be used as covariates with the default CLASSEFFECTS=EXCLUDE option. ERROR: There are no continuous variables in the VAR list to impute the variable Group with an FCS discriminant method and the default CLASSEFFECTS=EXCLUDE option. NOTE: The SAS System stopped processing this step because of errors. WARNING: The data set WORK.MI_MVN may be incomplete. When this step was stopped there were 0 observations and 94 variables. WARNING: Data set WORK.Want was not replaced because this step was stopped. NOTE: PROCEDURE MI used (Total process time): real time 9.00 seconds cpu time 1.67 seconds
Important, I don't want to impute Group, because it doesn't have missing. I just want to use it to compute the 3 variables above. Do you have any idea on how to solve this problem? Thank you in advance 😉
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