Part One: Programming Efficiency Techniques -- Chapter 1: The Basics of Efficient SAS Coding -- Chapter 2: How to Use Look-up Tables Effectively -- Chapter 3: Case: SAS Skills in Epidemiology -- Part Two: External Interfaces -- Chapter 4: SAS to R to SAS -- Chapter 5: Knit Perl and SAS for DIY Web A
SAS Programming and Data Visualization Techniques: A Power User's Guide
β Scribed by Philip R. Holland
- Publisher
- Apress
- Year
- 2015
- Tongue
- English
- Leaves
- 251
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
SAS Programming and Data Visualization Techniques: A Power User's Guide brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your fingertips. Best, you can achieve most of the solutions using the SAS components you already license, meaning that this book's insights can keep you from throwing money at problems needlessly. Author Philip R. Holland advises a broad range of clients throughout Europe and the United States as an independent consultant and founder of Holland Numerics Ltd, a SAS technical consultancy. In this book he explains techniques - through code samples and example - that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs.
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<p><em>SAS Programming and Data Visualization Techniques: A Power Userβs Guide</em> brings together a wealth of ideas about strategic and tactical solutions to everyday situations experienced when transferring, extracting, processing, analyzing, and reporting the valuable data you have at your finge
3rd edition, 2006.
I have to give a very positive review to this book. Cody writes very nice introductory applied statistics books that emphasize SAS applications. This has good illustrations of a very important type of data analysis that biostatisticians doing clinical research need to know. Also, because in the an
This title details useful techniques for conducting operations between observations in a SAS data set. For quick reference, the book is conveniently organized to cover tools, case studies, and macros. Beginning to intermediate SAS users will appreciate this book's informative, easy-to-comprehend sty