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Showing posts with label Macros. Show all posts
Showing posts with label Macros. Show all posts

SAS Macros that Convert a Directory of Transport Files

There is a set of SAS macros, converts a directory of transport files to a directory of SAS data sets and format catalogs (and vice versa). To see how to invoke the macros, look at the test following the last macro. The macros make the assumption that transport files created from data sets have the extension .xpt, and transport files created from format catalogs have the extension .xpf.
%expfmts : This macro will convert an existing format catalog into a data set in transport format.
%expdset: This macro will convert an existing SAS data set into a transport file.
%impfmts: This macro will convert a transport CNTLOUT data set into a native format catalog.
%impdset: This macro will convert a transport data set into a native SAS data set.
%getnames: This macro will create a SAS data set consisting of a variable called FILENAME. There will be one observation for each file in the specified directory with the specified extension.

Renaming All Variables in a SAS Data Set Using the SASHELP VIEWS

*Create a temporary dataset... DSN;
data dsn;
a=1;
b=2;
c=3;
d=4;
e=5;
f=6;
run;


%macro test(lib,dsn);

*/1)*/ data _null_;
set sashelp.vtable(where=(libname="&LIB" and memname="&DSN"));
call symput('nvars',nvar);
run;

*/2)*/ data dsn;
set sashelp.vcolumn(where=(libname="&LIB" and memname="&DSN"));
call symput(cats("var",_n_),name);
run;


*/3)*/ proc datasets library=&LIB;
modify &DSN;
rename
%do i = 1 %to &nvars;
&&var&i=Rename_&&var&i.
%end;
;
quit;
run;
%mend;

%test(WORK,DSN);

After submitting the above program... the output looks like this....

Output:
Rename_a Rename_b Rename_c Rename_d Rename_e Rename_f
1 2 3 4 5 6

Here is a way I know of.. to rename all the variables in the dataset;

It can be done using the SASHELP views as follows:

1) The 1st step of the program determines the total number of variables inside the dataset with the help of SASHELP.Vtable, Data _null_ step used to do the same …. A macro variable NVAR (Number of Variables) will be created after this step which can be accessed in the following steps.

2) What the 2nd step does is….assigns a unique IDNUM to all the variables of the dataset with the help of SASHELP.Vcolumn.

3) What the 3rd step does is … it uses Proc Datasets with the MODIFY statement to rename all the variables in the dataset. The DO LOOP is been used to resolve the 6 macro variables in a macro of a temporary dataset.

Disclosure:

In the spirit of transparency and innovation, I want to share that some of the content on this blog is generated with the assistance of ChatGPT, an AI language model developed by OpenAI. While I use this tool to help brainstorm ideas and draft content, every post is carefully reviewed, edited, and personalized by me to ensure it aligns with my voice, values, and the needs of my readers. My goal is to provide you with accurate, valuable, and engaging content, and I believe that using AI as a creative aid helps achieve that. If you have any questions or feedback about this approach, feel free to reach out. Your trust and satisfaction are my top priorities.