Technology Tales

Adventures in consumer and enterprise technology

Some SAS Macro code for detecting the presence or absence of a variable in a dataset

Published on 4th December 2013 Estimated Reading Time: 2 minutes

Recently, I needed to put in place some code to detect the presence or absence of a variable in a dataset, and I chose SAS Macro programming as the way to do what I wanted. The logic was based on a SAS sample that achieved the same result in a data step and some code that I had for detecting the presence or absence of a dataset. Mixing the two together gave me something like the following:

%macro testvar(ds=,var=);

%let dsid=%sysfunc(open(&ds,in));
%let varexist=%sysfunc(varnum(&dsid,&var));
%if &dsid > 0 %then %let rc=%sysfunc(close(&dsid));

%if &varexist gt 0 %then %put Info: Variable &var is in the &ds dataset;
%else %put Info: Variable &var is not in the &ds dataset;

%mend testvar;

%testvar(ds=dataset,var=var);

What this does is open up a dataset and look for the variable number in the dataset. In datasets, variables are numbered from left to right with 1 for the first one, 2 for the second and so on. If the variable is not in the dataset, the result is 0 so you know that it is not there. All of this is what the VARNUM SCL function within the SYSFUNC macro function does. In the example, this resolves to %sysfunc(varnum(&dsid,var)) with no quotes around the variable name, akin to what you would do in data step programming. Once you have the variable number or 0, then you can put in place some conditional logic that makes use of the information, like what you see in the above simple example. Of course, that would be expanded to something more useful in real life, but I hope it helps to show you the possibilities here.

  • The content, images, and materials on this website are protected by copyright law and may not be reproduced, distributed, transmitted, displayed, or published in any form without the prior written permission of the copyright holder. All trademarks, logos, and brand names mentioned on this website are the property of their respective owners. Unauthorised use or duplication of these materials may violate copyright, trademark and other applicable laws, and could result in criminal or civil penalties.

  • All comments on this website are moderated and should contribute meaningfully to the discussion. We welcome diverse viewpoints expressed respectfully, but reserve the right to remove any comments containing hate speech, profanity, personal attacks, spam, promotional content or other inappropriate material without notice. Please note that comment moderation may take up to 24 hours, and that repeatedly violating these guidelines may result in being banned from future participation.

  • By submitting a comment, you grant us the right to publish and edit it as needed, whilst retaining your ownership of the content. Your email address will never be published or shared, though it is required for moderation purposes.