02-24-2017 03:39 PM
I am using SAS University Edition to complete an assignment for my stats class with my partner and I am having an issue. We are trying to fit a heterogeneous error covariance structure to a dataset and have been given some benchmark results to make sure we are on the right track. Unfortunately, my partner and I have exactly the same code (copied directly from a word document) and while he is getting the correct value, I am not. He is using a mac and I'm using a PC and I get the same value in google chrome and internet explorer. Perhaps there is some difference in these two operating systems that I'm unaware of? Any help would be greatly appreciated.
Here is an example of my code:
proc sort data=first; by block var;
proc glimmix data=first;
class block var;
random _residual_ / subject=block*var group=var;
lsmeans var / pdiff adjust=tukey;
output out=second predicted=pred student=studentresid student(noblup)=smresid;
02-24-2017 03:43 PM
Have you made sure that both of your "first" datasets are identical?
02-24-2017 04:59 PM
yes, the data sets and code are identical. We copied the entire code (containing the datasets) into SAS into a word document and used that same code with no changes into my SAS with different results.
02-24-2017 05:18 PM
Can you post the code used with data so one of us can replicate and let you know what the correct value is?
Did you confirm the issues mentioned?
Word has messed up files previously such that data can be read differently especially if you're using datalines or cards to generate your data. You still need to confirm the data. In general, use notepad or notepad++/Ultraedit to edit programming files, Word and Excel like to interpret and add their own little bugs.
02-24-2017 03:56 PM
Things to check:
1. Source datasets are the same. Make sure they both have the same number of observations and then values. One of you could save the SAS dataset, send it to the other and you could run a proc compare to highlight the differences.
2. Make sure you're running the same version of SAS, run
And verify the exact same versions.
3. Check the code line by line and make sure you're logs are both clean.
02-24-2017 04:57 PM
Thanks for the reply. The value we are looking for is 0.02700 and I have 0.02709. So while the difference isn't very large, it's not insignificantly small either.