proc logistic data=BTS201506 ; class Carrier ; model DepDelayInd(Descending) = CRSDepTime seqnum DepDelayLagInd DepDelayLag DepDelayLagCum ArrDelayLagInd ArrDelayLag ArrDelayLagCum DepDelayLag2 ArrDelayLag2; where cancelled=0 ; run ; So basically, Carrier is my categorical variable. I want to partition the dataset based on the values of this categorical variable and then build a logistic regression for each of the values of this categorical variable, Carrier.   But the code above does not work.   Help ... View more

data total_points (drop=TeamName); length Event3 Event2 Event1 8. TeamName ParticipantName $8. ; format Event2 z8. ; retain TeamName Count ; input TeamName $ Count @ ; do i = 1 to Count ; input ParticipantName $ Event1 Event2 Event3 ; TeamTotal + (Event1 + Event2 + Event3); output ; end ; datalines; Knights 1 Sue 6 8 8 Kings 1 Jane 9 7 8 Knights 4 John 7 7 7 Lisa 8 9 9 Fran 7 6 6 Walter 9 8 10 ; proc print data=total_points; run; I've run this code with and without the Retain statement. It made no difference.  ... View more

  data _NULL_ (drop=TeamName); length Event3 Event2 Event1 8. TeamName ParticipantName $8. ; format Event2 z8. ; retain TeamName Count ; input TeamName $ Count @ ; do i = 1 to Count ; input ParticipantName $ Event1 Event2 Event3 @@ ; TeamTotal + (Event1 + Event2 + Event3); output ; FILE 'C:\Users\user\Desktop\IDS SAS 594\samplefile.txt' ; if _N_=3 then do ; if i = 1 then do ; put TeamName Count @@ ; end ; if i < 2 then do ; put ParticipantName Event1 Event2 Event3 @@ ; end ; else do ; put ParticipantName Event1 Event2 Event3 ; end ; end ; else do ; put TeamName Count ; put ParticipantName Event1 Event2 Event3 ; end ; end ; datalines; Knights 1 Sue 6 8 8 Kings 1 Jane 9 7 8 Knights 4 John 7 7 7 Lisa 8 9 9 Fran 7 6 6 Walter 9 8 10 ;   I do not understand the bold parts.   Help  ... View more