Bart, Yes, I downloaded SPFinit.sas and baseplus.zip into "C:\Users\soj2\Documents\SAS_Packages".   sysencoding=wlatin1   ... View more

Bart, I tried using the code in the Getting_Started_with_SAS_Packages.pdf you posted:   filename packages "C:\Users\soj2\Documents\SAS_Packages"; %include packages(SPFinit.sas);   I'm not really sure about the SAS session. How do I find that? ... View more

Bart, I really like the raincloud plots. However, when I run the %include packages(SPFinit.sas); I geta whole bunch of errors like those below. Any idea why? Using SAS 9.4 TS Level 1M3   WARNING: Apparent symbolic reference LT not resolved. WARNING: Apparent symbolic reference GT not resolved. WARNING: Apparent symbolic reference LT not resolved. WARNING: Apparent symbolic reference GT not resolved. NOTE: The internal source spool file has been truncated. Error logging with line and column information might be incomplete until next step boundary. YHQSRC/XZPWRIT failure ... View more

Steve, Thanks again for your feedback. It is greatly appreciated! I actually got the code below to run without errors and it looks like it put those with Selected=1 into the training data set and those with Selected=0 into the validation set. I got this in the lst file output: * Create list of independent variables; proc sql; select distinct field into: ind_vars separated by ' ' from model.univariate_&dep_var ;quit; * Randomly select 80% for training data proc surveyselect data=out.final method=srs seed=43543 outall samprate=0.8 out=subsets; run; ods listing; proc hpgenselect data=subsets lassosteps=50; model case (event='1') = &ind_vars / dist = binomial; partition rolevar = selected(train = "1" validate ="0"); selection method = lasso(choose = sbc ); performance details; run; Although there were no errors in the log, the code stopped after Selected Effects: Intercept was entered into the model. Anyone know why that happened? ... View more

Steve, Thanks for the reply! I think you are correct with the Partition statement. Have you used HPGENSELECT much? Does the code below seem reasonable and correct? Any guidance greatly appreciated!   proc surveyselect data=out.final method=srs seed=43543 outall samprate=0.8 out=subsets; proc hpgenselect data=subsets lassosteps=50; model &depvar (event='1') = &VARLIST / dist=binomial; partition ROLEVAR=Selected(TRAIN="1" VALIDATE="0"); selection method=LASSO(SELECT=SBC choose=validate stop=none); run; ... View more