SAS/IML Studio 3.2 for SAS/STAT Users
Author | : |
Publisher | : SAS Institute |
Total Pages | : |
Release | : 2009 |
Genre | : IML (Computer program language) |
ISBN | : 9781607643166 |
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Author | : |
Publisher | : SAS Institute |
Total Pages | : |
Release | : 2009 |
Genre | : IML (Computer program language) |
ISBN | : 9781607643166 |
Author | : |
Publisher | : SAS Institute |
Total Pages | : |
Release | : 2009 |
Genre | : IML (Computer program language) |
ISBN | : 9781607643142 |
Author | : Sas Institute |
Publisher | : |
Total Pages | : 0 |
Release | : 2010-11 |
Genre | : |
ISBN | : 9781607647515 |
Describes how SAS/STAT users can use SAS/IML Studio in conjunction with SAS/STAT in order to explore data and visualize statistical models. A goal of this book is to enable SAS/STAT programmers to write programs and create dynamically linked graphics in SAS/IML Studio as quickly as possible.
Author | : Rick Wicklin |
Publisher | : SAS Institute |
Total Pages | : 461 |
Release | : 2010-10-01 |
Genre | : Computers |
ISBN | : 1607647702 |
Annotation SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs.
Author | : SAS Publishing |
Publisher | : Sas Inst |
Total Pages | : 96 |
Release | : 2010-05 |
Genre | : Computers |
ISBN | : 9781607646426 |
Describes how SAS/STAT users can use SAS/IML Studio in conjunction with SAS/STAT in order to explore data and visualize statistical models. The second edition contains a new chapter about the R interface. A goal of this book is to enable SAS/STAT programmers to write programs and create dynamically linked graphics in SAS/IML Studio as quickly as possible. This title is also available online.
Author | : Rick Wicklin |
Publisher | : |
Total Pages | : 460 |
Release | : 2019-08-27 |
Genre | : Computers |
ISBN | : 9781642955972 |
SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs.
Author | : Sas |
Publisher | : |
Total Pages | : 460 |
Release | : 2010 |
Genre | : Electronic book |
ISBN | : |
Annotation SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML Studio application efficiently. In addition to providing a comprehensive introduction to the software, the book also shows how to create and modify statistical graphs, call SAS procedures and R functions from a SAS/IML program, and implement such modern statistical techniques as simulations and bootstrap methods in the SAS/IML language. Written for data analysts working in all industries, graduate students, and consultants, Statistical Programming with SAS/IML Software includes numerous code snippets and more than 100 graphs.
Author | : Rick Wicklin |
Publisher | : SAS Institute |
Total Pages | : 363 |
Release | : 2013 |
Genre | : Computers |
ISBN | : 1612903320 |
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. This book is part of the SAS Press program.
Author | : SAS Institute |
Publisher | : |
Total Pages | : 540 |
Release | : 1990 |
Genre | : Computers |
ISBN | : |
Chapter 1 - Introduction to SAS/IML software 1. Chapter 2 - Understanding the SAS/IML Language 5. Chapter 3 - Tutorial: a module for linear regression 19. Chapter 4 - Working with matrices 31. Chapter 5 - Programming statements 51. Chapter 6 - Working with SAS data sets 71. Chapter 7 - File access 95. Chapter 8 - Applications: statistical examples 111. Chapter 9 - Introduction to SAS/IML graphics 167. Chapter 10 - Graphics applications 185. Chapter 11 - Window and display features 201. Chapter 12 - Storage features 213. Chapter 14 - Further notes 233. Chapter 15 - SAS/IML language reference 239.
Author | : Ron Cody |
Publisher | : SAS Institute |
Total Pages | : 536 |
Release | : 2018-07-03 |
Genre | : Computers |
ISBN | : 1635266564 |
Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.