Is there a way to look at all files in directory using SAS code similar to os.listdir() in python or list.files() in R?  I know you in SAS EG, you point and clock File-Open Data, but I was just curious if there was some SAS code that could do the same thing. ... View more

  Hello,   I have the following code in my program.   a = round(b/c, .001);   However, all the numbers get rounded to the hundredths place instead of the thousandths place.  In fact, when I remove the round function, I still only get two decimal places.   Not sure what is going on.  Tried using and not using BEST32. informat, but still got the same answer.  I got the same result with the DIVISION function as well.   These are the actual numbers.   2538200 / 896 = 80957.81   ... View more

I have a question about Propensity Score Matching (PSM) and PROC MIXED.   I have dataset of treatment students matched to control students.  I want to see if the treatment varies by school by allowing the treatment effect to vary by school.  I believe I can do  with the statement RANDOM TREATMENT / SUBJECT = SCHOOL.  However, at the same time I feel like I still need to control for the PSM process and the fact that each treatment student is matched to a similar control student.  My understanding of PSM without replacement is that it mimics paired experiment (almost as if the treatment and the control students are twins).  I tried doing this with a Random INT / subject = ID statement (where ID is an indicator for each treatment/control student pair), but this seems to take up a lot of memory.  However, if I add a REPEATED / SUBJECT = ID statement in addition to the RANDOM TREATMENT / SUBJECT = SCHOOL statement, the model seems to work.     I just want to know if this model is valid?  I posted the code below.   PROC MIXED DATA = PSM_DATA METHOD = REML COVTEST ORDER = DATA ; CLASS SCHOOL ID; MODEL HSGRADG12 = TREATMENT / DDFM = BW SOLUTION NOINT ; REPEATED / SUBJECT=ID TYPE=UN; RANDOM TREATMENT / SUBJECT = SCHOOL TYPE = UN SOLUTION G GCORR; RUN; ... View more