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Proc export giving additional quotes to the quoted char values.and if u use data step for that it is giving a space or . To numeric values which is not required . Needs to change nothing.now it is , , but want ,, no space no .for missing numeric value.
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Hi guys,
how can I calculate person-years from two dates for ex: 16FEB2019 and 08JAN2020?
I have two variables with around 20.000 rows in my table.
Thank you in advance.
Best
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Hi, I have a dataset where the year goes from [2000,2015] where I have these countries: Spain, France, Denmark and European Union and let's say two colomns; company='A' and 'B' and value='dollar' Q1: if Spain for company A have average vaule 0.288 Denmark also France also for aaaalll of the 15 years. BUT! We have EU (recall, France, Spain, Denmark are all in European Union (EU)) and for one (1) year EU have the avarage for the same company A, have tha average vaule at 1,000 Q2: For company B;, France, Spain, Denmark and European Union (EU)) have data from [2000,2015] and have ~the same avarage all the four, how to solve that issue besT?
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Hey there, I recently learned Clinical SAS, so I want to have some online projects with the guidance of experts so that I can manifest my skills which will be helpful for my future, I would be so grateful if I get the chance to work through it. Thank you and I will be waiting for your responses.
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