SAS/IML®
Interactive matrix programming
SAS/IML software provides a powerful and flexible matrix programming language in a dynamic environment for programmers, statisticians and researchers. A new interface, SAS Stat Studio, provides interactive programming and exploratory data analysis. You can apply SAS/IML software to problems ranging from simple matrix manipulations to estimation techniques and linear programming to nonlinear optimization.
Benefits
- Program easily and efficiently.
- Create your own modules or use routines from a predefined library.
- Perform interactive exploratory analyses.
- Formulate and implement genetic algorithm optimizations.
- Take advantage of automatic memory management and matrix sizing.
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Features
- Extensive set of dynamic matrix functions.
- Data processing.
- Control statements direct the flow of execution of IML statements and enable program modularization.
- Specialized functions and call routines put state-of-the-art techniques at your fingertips.
- Interactive data analysis with SAS Stat Studio.
- An integrated programming environment.
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Screenshots
SAS Stat Studio provides a new, dynamic, interactive interface to SAS/IML software. It provides access to a wide range of graphics commands, allowing you to create customized displays and visually explore relationships in data.
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How SAS is different
- SAS Stat Studio provides a new dynamic, interactive interface for SAS/IML software. With SAS Stat Studio, you can build on your familiarity with SAS/STAT or SAS/IML to write programs that explore data, fit models and relate the results to the data with linked graphics. You have access to a wide range of graphics commands, allowing you to create customized displays and visually explore relationships in data.
- SAS/IML software is a complete programming language. You can construct programs using control structures such as conditional and iterative statements, and access a wide range of built-in subroutines to make your programming even more efficient.
- The software includes built-in functions for computing determinants, eigenvalues, eigenvectors, and generalized inverses; generating design matrices and plotting data; and solving systems of linear equations and ordinary differential equations. In addition, you can compute roots of polynomials, perform numerical integration, and solve both linear and nonlinear programming problems.
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