Easily translate mathematical formulas into programs for data analysis, optimization and matrix computations with this powerful matrix programming language.
It is also useful for tasks including root finding, numerical integration, linear programming, nonlinear optimization, bootstrap estimation and simulation. With this powerful matrix programming language software, you can concentrate on solving problems because activities such as memory allocation and dimensioning of matrices are performed automatically. Learn SAS technology quickly and efficiently by taking a course from the analytics experts.
Learn how to use the IML procedure via the programming language. This course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. Emphasis is on programming, not statistical theory or interpretation.
You should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.
For more in-depth information, read books written by SAS experts. Based on …. Authoritative but accessible information on Java programming fundamentals As one of the most popular programming languages ….
Skip to main content. Start your free trial. This book is part of the SAS Press program. Show and hide more. Table of contents Product information. Simple syntax and an extensive function library make it easy to translate mathematical formulas into statistical programming statements.
You can implement custom analyses for a variety of applications and even build your own module library. Share your programs and libraries by writing packages, and download programs written by others.
Graphically explore data to spot hidden patterns, uncover relationships among variables, understand outliers and identify unusual features in the data.
Dynamically linked graphics enable you to select observations in one graph and see those same observations highlighted in all other views of the data. Find optimum values for objective functions, subject to constraints. Simulate data, solve linear systems and perform matrix computations. And there's no need to declare or allocate storage for a data matrix, because SAS IML software does this automatically.
Lets you take a programming approach to matrix-oriented operations and analysis. Uses the SAS Viya engine, which enhances the SAS Platform, providing high availability, fast in-memory processing, the ability to code from open source languages and native cloud support.
Supports matrix operations, solving linear systems and matrix decompositions. Includes built-in functions for numerical linear algebra, root-finding algorithms, integrals and derivatives, differential equations and interpolation. Enables linear programming and mixed-integer linear programming. Lets you simulate from dozens of built-in distributions — including univariate, multivariate and time series models — and program custom simulations, including regression and spatial models.
SAS Viya has a completely redesigned architecture that is compact, cloud native and fast. Whether you prefer to use the SAS Cloud or a public or private cloud provider, you'll be able to make the most of your cloud investment. Conquer all your analytics challenges — from experimental to mission critical — with faster decisions in the cloud. The latest release of SAS Viya is now available on these cloud providers.
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