Thank you for your response. I have another question, with 5 dates: date1 date2 date3 date4 date5, and 5 corresponding 5 DO: DO1, DO2, DO3, DO4, and DO5, how to do it? Thank you in advance.
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Hi all, I have the following data structure from a big dataset with: DO1= date1- parity_date, DO2= date2- parity_date, data parity; input animal parity_date date1 DO1 date2 DO2; cards; AM11024 16APR2012 15OCT2012 182 28APR2015 1107 AM11024 14MAR2013 15OCT2012 -150 28APR2015 775 AM11024 04FEB2014 15OCT2012 -477 28APR2015 448 AM11024 20JAN2015 15OCT2012 -827 28APR2015 98 run; I would like to get this result: animal parity_date date DO AM11024 16APR2012 15OCT2012 182 AM11024 20JAN2015 28APR2015 98 Grouping date1 and date2 into one variable (date) and DO1 and DO2 into DO with the following condition: with the mínimum value of DO1 and DO2. Any help will be thankful. Best regards.
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Thank you for your response. The data I'am going to transpose is an output from another fortran program. Newg represents 2 variables. The data is: data transpose; input iteration; cards; round1 newr value1 newg value2 newg value3 round2 newr value4 newg value5 newg value6 round3 newr value7 newg value8 newg value9 ; run;
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Dear all, I want to transpose this column structure from round 1 to n: round1 newr value1 newg value2 newg value3 . . n to the following one: Round newer newg newg 1 value1 value2 value3 . . n Thank you for any help!
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