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dbillig
Fluorite | Level 6

I have several datasets I'm trying to set together, but don't want to type each one manually because there are hundreds.  Is it possible to use a wildcard to set them together somehow, like you can do in an Infile statement?  I've tried Data MyFile; Set MyFile*; Run; but get a syntax error. 

Thanks for any help

1 ACCEPTED SOLUTION

Accepted Solutions
art297
Opal | Level 21

That was added in 9.2.  If you still have an older version, you could either use a pipe or proc sql to accomplish the same thing.  E.g.:

proc sql noprint;

  select memname into :names

    separated by " "

      from dictionary.tables

        where libname eq "WORK" and

          memname like "HAVE%"

;

quit;

data want;

  set &names.;

run;

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5 REPLIES 5
art297
Opal | Level 21

Try it with set Myfile:

dbillig
Fluorite | Level 6

Thanks, just tried it however gave me a syntax error again, with the cursor on the ":", very weird...

art297
Opal | Level 21

On SAS 9.2 it works for me.  My log shows:

40   data want;

41     set have:;

42   run;

NOTE: There were 7 observations read from the data set WORK.HAVE.

NOTE: There were 7 observations read from the data set WORK.HAVE1.

NOTE: There were 7 observations read from the data set WORK.HAVE2.

NOTE: The data set WORK.WANT has 21 observations and 1 variables.

NOTE: DATA statement used (Total process time):

      real time           0.07 seconds

      cpu time            0.01 seconds

art297
Opal | Level 21

That was added in 9.2.  If you still have an older version, you could either use a pipe or proc sql to accomplish the same thing.  E.g.:

proc sql noprint;

  select memname into :names

    separated by " "

      from dictionary.tables

        where libname eq "WORK" and

          memname like "HAVE%"

;

quit;

data want;

  set &names.;

run;

dbillig
Fluorite | Level 6

Perfect, got them both to work.  I'm in Enterprise Guide 4.1 which explains why the colon trick didn't work at first, although as soon as I flipped over to PC SAS 9.2 it worked.  The Proc SQL statement worked in both places.  Thanks!!

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