You can program easily and efficiently with the many features for arithmetic and character expressions in SAS/IML software. You can access a wide variety of built-in functions and subroutines designed to make your programming fast, easy, and efficient. Because SAS/IML software is part of the SAS System, you can access SAS data sets or external files with an extensive set of data processing commands for data input and output, and you can edit existing SAS data sets or create new ones.
SAS/IML software has a complete set of control statements, such as DO/END, START/FINISH, iterative DO, IF-THEN/ELSE, GOTO, LINK, PAUSE, and STOP, giving you all of the commands necessary for execution control and program modularization. See the section Control Statements for details.
Functions and statements in most programming languages manipulate and compare a single data element. However, the fundamental data element in SAS/IML software is the matrix, a two-dimensional (row column) array of numeric or character values.
You can access built-in matrix operations that require calls to math-library subroutines in other languages. You can access many matrix operators, functions, and subroutines.
You can add elements of the matrices A and B with the expression A+B. You can perform matrix multiplication with the expression A*B and perform elementwise multiplication with the expression A#B.
You can execute SAS/IML statements one at a time and see the results immediately, or you can submit blocks of statements or an entire program. You can also define a module that encapsulates a series of statements. You can interact with an executing module by using the PAUSE statement, which enables you to enter additional statements before continuing execution.
You do not need to declare, dimension, or allocate storage for a data matrix. SAS/IML software does this automatically. You can change the dimension or type of a matrix at any time. You can open multiple files or access many libraries. You can reset options or replace modules at any time.
You can read observations from a SAS data set. You can create either multiple vectors (one for each variable in the data set) or a single matrix that contains a column for each data set variable. You can create a new SAS data set, or you can edit or append observations to an existing SAS data set.