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Hands-On SAS for Data Analysis

You're reading from   Hands-On SAS for Data Analysis A practical guide to performing effective queries, data visualization, and reporting techniques

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781788839822
Length 346 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Table of Contents (17) Chapters Close

Preface 1. Section 1: SAS Basics FREE CHAPTER
2. Introduction to SAS Programming 3. Data Manipulation and Transformation 4. Section 2: Merging, Optimizing, and Descriptive Statistics
5. Combining, Indexing, Encryption, and Compression Techniques Simplified 6. Power of Statistics, Reporting, Transforming Procedures, and Functions 7. Section 3: Advanced Programming
8. Advanced Programming Techniques - SAS Macros 9. Powerful Functions, Options, and Automatic Variables Simplified 10. Section 4: SQL in SAS
11. Advanced Programming Techniques Using PROC SQL 12. Deep Dive into PROC SQL 13. Section 5: Data Visualization and Reporting
14. Data Visualization 15. Reporting and Output Delivery System 16. Other Books You May Enjoy

NOMPREPLACE and MREPLACE

While writing macro definitions is important, protecting those we've already written can be critical in a multiple-user scenario. In this section, we will look at the roles of the NOMREPLACE and NOCOMPILE options so that we can protect our existing macro definitions.

The NOMPREPLACE system option will prevent a user from overwriting a macro, even if a macro with the same name has already been compiled. Note that this will not prevent a macro variable from being rewritten. We will use the Class dataset we created in the previous chapter to highlight the role of the system option.

In the following code, the Alt dataset is being created from the Class dataset. An additional variable Dataset has been defined to take the value Alt:

Data Alt;
Set Class;
Dataset="Alt";
Run;

Apart from the SYMBOLGEN and MPRINT options, we have specified the NOMREPLACE...

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