sas >> WARNING: Variable Upper already exists on file

by hdennis » Thu, 06 May 2004 21:38:23 GMT

I am intermittently getting the warning " WARNING: Variable [variable name] already exists on file" when I output a file using "outp" or "outpm" in Proc Mixed.

Even if I delete the old datasets before I re-run the program, I sometimes get it. I searched the online doc, but can't find anything about this warning. I use SAS on Unix. Does anyone know what is causing this warning? THANKS

Helen C. Dennis
Delaware Department of Education
email: XXXX@XXXXX.COM

sas >> WARNING: Variable Upper already exists on file

by Howard_Schreier » Fri, 07 May 2004 02:14:22 GMT


It's not a conflict with a pre-existing dataset of the same name. Rather,
it's the result of trying to create two variables with the same name in the
output dataset.

I can replicate the message using Base SAS v 9.0 with the following code:

data ab;
retain a 0 b 1;
run;

proc sql;
create table aa as
select a, b as a
from ab;
quit;

Look at any code in which you provide names for variables to be included in
the output dataset. Do you reuse any names, or specify a name which
conflicts with some automatically created variable?

If you can't find the source of the problem, post an example of code which
displays the message when you run it.

On Thu, 6 May 2004 09:38:23 -0400, Dennis, Helen < XXXX@XXXXX.COM >


name] already exists on file" when I output a file using "outp" or "outpm"
in Proc Mixed.
get it. I searched the online doc, but can't find anything about this
warning. I use SAS on Unix. Does anyone know what is causing this warning?
THANKS

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On Tue, 11 Apr 2006 14:23:45 -0400, Rathindronath < XXXX@XXXXX.COM >
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>Thanks a loteveryone. But i should not use C & E in the retain sattement (
>NO HARDCODING).
>
>I am supposed to have A, B, C, D, E variables in a dataset.
>My goal is to check if A, B, C, D, E all of those variable are in the
>dataset. If not then just put the missing varibles TO it but no values (
>CAUSE THESE VARIABLES DIDN'T HAVE ANY VALUES).
>
>Like I have A, B & D variables in the dataset. Now I should check if I
>have A, B, C, D & E all of them is in the datatset. If not then put the
>rest of the variables to that dataset. Like put C & E ( cause they are not
>there, though they were supposed to be there). so the dataset become have
>all the variables: A, B, C, D, E.

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