Thanks @PGStats ! This looks like the sort of thing I was hoping to find built in to some sort of PROC, but the code looks pretty straightforward. Thanks again! ... View more

Yes this is basically what I'm doing now, although with a DATA step instead of PROC TIMESERIES. I was hoping to avoid the somewhat awkward and potentially memory-intensive transition from unevenly-spaced to evenly spaced for simple arithmetic and logical computations, and then back to unevenly-spaced for further analysis. Anyhow thanks for your help @rselukar ! ... View more

Thank you @udo_sas and @rselukar for this information about SSM! I see that it will be very helpful for extrapolation/interpolation, and also more powerful modeling of unevenly spaced timeseries data.   I'm still wondering if there is anything that will do simple arithmetic and logical operators on a set of unevenly-spaced timeseries data (such as what would come off of a set of related sensors). Each sensor will send data at different unevenly-spaced times. The example from the traces package website about adding up all the light switched on in a building (see below) is a good one, but I may also want to do different things like logical ORs to see when any light is on in the building, find the average number of lights on in the building, etc. Would SSM help with this? Or something else in SAS? ... View more

Thanks Reeza. Really the key issue for me is the unevenly-spaced aspect of the problem, not the logical or part. The logical or is just an example. I'm trying to avoid going from unevenly-spaced to evenly spaced to do a computation like a logical or or sum or something, and then back again to unevenly-spaced because that's more concise and relevant for later analyses. ... View more