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jjjon
‎07-11-2018
  • 5 Posts
  • 2 Likes Given
  • 0 Solutions
  • 0 Likes Received

process flow history control

by Calcite | Level 5 in SAS Enterprise Guide
‎06-30-2016 08:35 AM
‎06-30-2016 08:35 AM
Hi,   I recently updated to SAS 7.1 and found the neat new feature of program history control. This is a great new feature that will make my life a bit easier in the future.   However, I have one question; Is there anyway of implementing the history control to entire process flows? I want to be able to follow changes in queries, graphs, etc. Basically anywhere code is written fore me using the graphical user interface.   Thanks,   Jon Nielsen ... View more

Re: SUM value all the same

by Calcite | Level 5 in SAS Programming
‎07-14-2015 05:05 AM
‎07-14-2015 05:05 AM
You need to group your data when using a sum statement, on what level do you want the calculations do be done? Further, I think you need to rethink your LTD logic if the wanted results really are as you wrote them. ... View more

Re: Capability Procedure

by Calcite | Level 5 in SAS Enterprise Guide
‎07-09-2015 10:30 AM
‎07-09-2015 10:30 AM
Hi, I have the exact same problem. Did you manage to solve it? ... View more

Re: Models in forecast studio

by Calcite | Level 5 in SAS Forecasting and Econometrics
‎07-07-2015 08:23 AM
‎07-07-2015 08:23 AM
Hi Udo, Thanks for your reply. Yes, I am referring to  the fit region, sorry for me being unclear about that. I have tried to use a holdout sample on the higher hierarchy levels, but in some cases the extreme behavior is occurring at the end points of my forecast horizon. Another concern is that I have a limited amount of data lower down in the hiererchy, so a holdout sample is not always feasible. Do you know if there is a way to set a threshold that filters models that have predicted data reaching it? ... View more

Models in forecast studio

by Calcite | Level 5 in SAS Forecasting and Econometrics
‎07-06-2015 08:07 AM
‎07-06-2015 08:07 AM
Hi, I am currently running a number of projects with large amounts of forecasts in forecast studio. As I am rather newwith this software, I have a predefined package as a base, filled with mainly ARIMA models. However, I have noticed that some of these models are never accurate for my time series and rather makes my work extremely time consuming as I have to remove them manually for each forecast. It is mainly my log-models that appear to have good RMSE but gives extreme results in the actual forecast numbers. I have tried to remove the models from the projects, but as they are imported from a file in the creation, they have been set as "default" models and cannot be tampered with appears. Does anyone have a clue of how to solve this? Is there a way to remove a pre-defined model from the entire project - all the way down the hierarchy? Kr. ... View more
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‎07-11-2018 11:13 AM
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