SYSCC

SYSCC contains the current condition code that SAS returns to your operating environment and it can be used to check the error-state of your SAS-program.
But SYSCC doesn’t catch all SAS errors. If you want it to catch more SAS errors you need to set the option ERRORCHECK=STRICT.

options errorcheck=strict;

Setting this option will catch errors in libname, filename and include statements in SAS.

 

 

 

Finding unique and dublicates in SAS

The code below shows you how to find unique and duplicate values in a dataset and get them seperated into two different datasets.
The variables you want to examin for uniqueness has to be in the by-statement and each have an not(first.<variable> and last.variable). Be aware that in SAS 9.3 there is an easier solution using proc sort.

data unique dups;
 set sashelp.class;
 by Age Height Name Weight;
 if not(first.Age and last.Age) 
 and not(first.Height and last.Height) 
 and not(first.Name and last.Name)
 and not(first.weight and last.Weight) then output dups;
 else output unique;
run;

This code is different than using proc sort prior to SAS 9.3

proc sort data=sashelp.class nodupkey out=unique dupout=dups;
 by Age Height Name Weight;
run;

The code above will take the first of the dublicates and put it into the unique-dataset. It will not completely seperate unique and duplicate rows from each other.

In SAS 9.3 proc sort has a new parameter uniqueout. This can be used to do the trick of the datastep much easier. I haven’t tried it, but I imagine that this is how it works.

proc sort data=sashelp.class nouniquekeys uniqueout=singles out=dublet; 
 by Age Height Name Weight;
run;

 

Copy .sas files (program files) with SAS

The code below copies all the SAS-programs (*.sas) files in a directory to another directory. This solution should be used if you don’t want to use an OS-command that copies the files. Using an OS-command is a lot easier and doesn’t require as much code. But of course depends on the OS your running on. This solution is OS independent.

%let SourcePath = C:\test\source;
%let DestinationPath = C:\test\destination;

/*
Reads the .sas files in &location.
*/
%macro GetFilenames(location);
 filename _dir_ "%bquote(&location.)";
 data filenames(keep=memname);
  handle=dopen( '_dir_' );
  if handle > 0 then do;
   count=dnum(handle);
   do i=1 to count;
    memname=dread(handle,i);
    output filenames;
   end;
  end;
  rc=dclose(handle);
 run;

 filename _dir_ clear;
%mend;

%GetFilenames(&SourcePath.);

/* We only want SAS-files and not SAS-datasets. */
data filenames;
 set filenames;
 if index(memname, '.sas') eq 0 or index(memname, '.sas7bdat') eq 1 then delete;
run;

%let Delimitor = ¤;

proc sql noprint;
 select memname into :Files separated by "&Delimitor"
 from FileNames;
quit;

%put Files to copy: &Files;

%macro CopySASFiles;
 %let NumberOfFiles = %sysfunc(countw(&Files., &Delimitor.));
 %put Number of files: &NumberOfFiles.;

 %do J=1 %to &NumberOfFiles.;
  %let File = %scan(&Files., &J, &Delimitor.);
  %put Copying SAS-program: &File.;

  data _null_;
   infile "&SourcePath.\&File."  lrecl=32767;
   file "&DestinationPath.\&File.";
   input;
   put _infile_;
  run;
 %end;
%mend;
%CopySASFiles;

 

Using SAS display manager (DM) for data exploration

The display manager (also known as DM) in base-SAS can be used for data exploration. For this demonstration the dataset sashelp.class will be used. Now sashelp.class is easy to get an overview of because it only has five variables. But if you have a lot of variables then some kind of data exploration/data manipulation might be handy.

Let’s say that you would like to take a look at the varable Age. In the DM you will write keep age.

pic32714

This will result in a displaying of the data only showing the variable age. Now you would like to have all the other variables shown but keep age as the first variable being displayed. This can be done writing the command unide _all_ in the DM.

pic18251

Now all the variable will be shown with age as the first variable.

pic10806

It is also possible to keep multiple variables. In the DM you can eg. write keep ‘height weight’. Remember that when keeping multiple variables you will have to write the variables in ‘ ‘.
pic06025

Now only these variables will be shown.
pic19365

You can again unhide the rest of the variables writing unhide _all_ this will keep the height and weight variables as the first variables being shown.
pic16171

Get SQL recipe for a dataset in SAS

The code below will make a file class.sql containing the SQL-code for creating the dataset sashelp.class

ods tagsets.sql file="class.sql";
 proc print data=sashelp.class ;
 run;
ods _all_ close;

The file will look something like this

Create table CLASS
(Name varchar(7), Sex varchar(1), Age float, Height float, Weight float);
Insert into CLASS(Name, Sex, Age, Height, Weight)
Values (‘Alfred’, ‘M’, 14, 69.0, 112.5);
Insert into CLASS(Name, Sex, Age, Height, Weight)
Values (‘Alice’, ‘F’, 13, 56.5, 84.0…

Making an empty dataset in SAS

The code below shows you how to make an empty dataset in SAS.
If you omit the if-sentence  and below, then you will get an empty row in the dataset.

data StatusTable;
 length Dataset $100 Message $150 Status $10;
 call missing(Dataset, Message, Status);
 if _N_ = 0 then output;
 stop;
run;

This can also be done a bit easier in SQL.

proc sql noprint;
create table Dataset
(
Dataset char 100,
Message char 150,
Status char 10
);
quit;

Comparing datasets in SAS

The code below compares two datasets. It merges them together and makes three datasets. One dataset contains identical observations from the two datasets. The second dataset contains observations only found in one dataset. And the third dataset contains observations only found in the other dataset.

data InBoth InOne InTwo;
merge One (in=a) Two (in=b);
by <variables>;
if a and b then
 output InBoth;
if a and not b then
 output InOne;
if b and not a then
 output InTwo;
run;

 

Return value from SAS macro

The code below shows how to return a value from a SAS macro.

/*
Returns 0 if a specific variable is not found in a dataset and 1 if it is found.
*/
%macro VarExist(_Dataset=, _Variable=);
  %local dsid rc ;
  %let dsid = %sysfunc(open(&_Dataset));

  %if (&dsid) %then %do;
     %if %sysfunc(varnum(&dsid,&_Variable)) %then 1;
     %else 0 ;
     %let rc = %sysfunc(close(&dsid));
  %end;
  %else 0;
%mend VarExist;

/*
Go to do something if the dataset sashelp.class contains the variable
age - and it does.
*/
%if %VarExist(_Dataset=sashelp.class, _Variable=age) %then
%do;
/* Something */
%end;

It is also possible to return a value from a macro using the code below. This only works for simple macros.

%macro add(no1=, no2=);
 %let result = %eval(&no1 + &no2);

 &Result
%mend;

%let sum = %add(no1=2, no2=2);