Hello SAS friends and happy New Year! I am glad you are here to help because I sure need it. I am using SAS 9.4 on a PC. I have a large data set that was created through a simulation and needs to be analyzed. There are 28,800 test sets broken up into segments of 2000. I did this because I thought it might be easier to analyze - probably wasn't. A set of 400 test set represents a certain set of simulation conditions. Each test set contains 20 items (columns) and 250 cases (rows). Each test set is different: if any of the items are replicated across test sets, it happened randomly. The code I am using is supposed to analyze each item in a test set (1-20), get a p-value for each item (20 p-values), and move onto the next test set. So I should get 20 different p-values for test set 1, 20 different for test set 2 etc etc all the way to 28,800 test sets. But that is not what is happening or at least that isn't what happens most of the time. I usually get the same p-values for all item 1s in every test set, and all item 2s in every test set. or all the p-values are the same. I have emailed SAS technical help but it is working OK for them, which is frustrating because it does work OK sometimes...and then it doesn't. I worked with someone over the break and he got it to work well for 10 test sets so we tried a run of 2000 and check them this morning - they were all the same. I have attached some of my practice results so you can see how erratic they are. I also attached the code for the macro that should loop through the data sets. Last, I included 2 test sets. I didn't attach the entire code because some parts are proprietary. I sure hope someone can help. carol
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