Author: Susan J. Slaughter
Publisher: SAS Institute
ISBN: 9781607645757
Size: 19.21 MB
Format: PDF, Kindle
View: 4817
Get Books
Whether you are using SAS Enterprise Guide for the first time or transitioning to the newest release, this is the book for you! With The Little SAS Book for Enterprise Guide 4.2, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks you'll want to do most frequently. The reference section of the book expands on the tutorial topics, covering specific features in more depth. Completely rewritten and updated with new features for SAS Enterprise Guide 4.2, this edition supports SAS Enterprise Guide 4.2, SAS Enterprise Guide 4.3, and SAS Enterprise Guide 5.1. This book is part of the SAS Press program.
Language: en
Pages: 388
Pages: 388
Whether you are using SAS Enterprise Guide for the first time or transitioning to the newest release, this is the book for you! With The Little SAS Book for Enterprise Guide 4.2, award-winning authors Susan Slaughter and Lora Delwiche help you quickly become productive in the SAS Enterprise Guide point-and-click
Language: en
Pages: 330
Pages: 330
Learning to use SAS Enterprise Guide has never been easier! Whether you are using SAS Enterprise Guide for the first time, or are looking to expand your skills, this is the book for you! With The Little SAS Enterprise Guide Book, award-winning authors Susan Slaughter and Lora Delwiche help you
Language: en
Pages: 388
Pages: 388
Learning to use SAS Enterprise Guide has never been easier With The Little SAS Book for Enterprise Guide 4.1, Susan Slaughter and Lora Delwiche help you quickly become familiar with the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks
Language: en
Pages: 364
Pages: 364
Learning to use SAS Enterprise Guide has never been easier! With The Little SAS Book for Enterprise Guide 3.0, Susan Slaughter and Lora Delwiche help you quickly become familiar with the SAS Enterprise Guide point-and-click environment. A series of carefully designed tutorials help you master the basics of the tasks
Language: en
Pages: 364
Pages: 364
A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so that readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a
Language: en
Pages: 364
Pages: 364
A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so that readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a
Language: en
Pages: 308
Pages: 308
New and updated for SAS Enterprise Guide 4.2, this pragmatic, example-driven book demonstrates how programmers can use SAS code to enhance the capabilities of SAS Enterprise Guide.
Language: en
Pages: 150
Pages: 150
Hone your SAS skills with Exercises and Projects for The Little SAS Book, Sixth Edition! Now in its sixth edition, the best-selling The Little SAS Book just keeps getting better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming. Rebecca Ottesen has once again
Language: en
Pages: 378
Pages: 378
This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the
Language: en
Pages: 208
Pages: 208
Working with longitudinal data introduces a unique set of challenges. Once you've mastered the art of performing calculations within a single observation of a data set, you're faced with the task of performing calculations or making comparisons between observations. It's easy to look backward in data sets, but how do