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.

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.

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

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.


Get overview of distinct values in dataset

The code below will make distinct values of all the variables in a dataset and list them besides each other for a better overview.

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.


Execute OS-command

The code below executes a OS-command in a nice and easy fashion. It also returns the returncode (rc) for the execution of the command in the OS-environment.


Commenting in SAS

I think the best way to start a SAS-program is to do a comment as described by the template below.

Comments should also be done above each datastep or procedure, And changes to the programs should be contained in a versioning system eg like Subversion (SVN).If you do not have a versioning system, then I think the comments should be something like the comments below.


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.


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.


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


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 ‘ ‘.

Now only these variables will be shown.

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.

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

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…