- Title Page
- Copyright
- Additional Resources
- What’s New in Step-by-Step Programming with Base SAS 9.4
- Accessibility Features of Step-by-Step Programming with Base SAS 9.4
- About This Book
- Part 1: Introduction to the SAS System
- Part 2: Getting Your Data into Shape
- Chapter 3: Introduction to DATA Step Processing
- Chapter 4: Starting with Raw Data: The Basics
- Chapter 5: Starting with Raw Data: Beyond the Basics
- Introduction to Beyond the Basics with Raw Data
- Testing a Condition Before Creating an Observation
- Creating Multiple Observations from a Single Record
- Reading Multiple Records to Create a Single Observation
- Problem Solving: When an Input Record Unexpectedly Does Not Have Enough Values
- Summary
- Learning More
- Chapter 6: Starting with SAS Data Sets
- Part 3: Basic Programming
- Chapter 7: Understanding DATA Step Processing
- Chapter 8: Working with Numeric Variables
- Chapter 9: Working with Character Variables
- Introduction to Working with Character Variables
- Input SAS Data Set for Examples
- Identifying Character Variables and Expressing Character Values
- Setting the Length of Character Variables
- Handling Missing Values
- Creating New Character Values
- Saving Storage Space by Treating Numbers as Characters
- Summary
- Learning More
- Chapter 10: Acting on Selected Observations
- Chapter 11: Creating Subsets of Observations
- Chapter 12: Working with Grouped or Sorted Observations
- Chapter 13: Using More Than One Observation in a Calculation
- Chapter 14: Finding Shortcuts in Programming
- Chapter 15: Working with Dates in the SAS System
- Part 4: Combining SAS Data Sets
- Chapter 16: Methods of Combining SAS Data Sets
- Chapter 17: Concatenating SAS Data Sets
- Chapter 18: Interleaving SAS Data Sets
- Chapter 19: Merging SAS Data Sets
- Chapter 20: Updating SAS Data Sets
- Chapter 21: Modifying SAS Data Sets
- Chapter 22: Conditionally Processing Observations from Multiple SAS Data Sets
- Part 5: Debugging SAS Programs
- Chapter 23: Analyzing Your SAS Session with the SAS Log
- Chapter 24: Directing SAS Output and the SAS Log
- Introduction to Directing SAS Output and the SAS Log
- Input File and SAS Data Set for Examples
- Routing the Output and the SAS Log with PROC PRINTTO
- Storing the Output and the SAS Log in the SAS Windowing Environment
- Redefining the Default Destination in a Batch or Noninteractive Environment
- Summary
- Learning More
- Chapter 25: Diagnosing and Avoiding Errors
- Chapter 26: Finding Logic Errors in Your Program
- Part 6: Producing Reports
- Part 7: Producing Plots and Charts
- Part 8: Designing Your Own Output
- Chapter 32: Writing Lines to the SAS Log or to an Output File
- Chapter 33: Understanding and Customizing SAS Output: The Basics
- Introduction to the Basics of Understanding and Customizing SAS Output
- Understanding Output
- Input SAS Data Set for Examples
- Locating Procedure Output
- Making Output Informative
- Controlling Output Appearance of Listing Output
- Controlling the Appearance of Pages
- Representing Missing Values
- Summary
- Learning More
- Chapter 34: Understanding and Customizing SAS Output: The Output Delivery System (ODS)
- Introduction to Customizing SAS Output By Using the Output Delivery System
- Input Data Set for Examples
- Understanding ODS Output Formats and Destinations
- Selecting an Output Format
- Creating Formatted Output
- Selecting the Output That You Want to Format
- Customizing ODS Output
- Storing Links to ODS Output
- Summary
- Learning More
- Part 9: Storing and Managing Data in SAS Files
- Part 10: Understanding Your SAS Environment
- Part 11: Appendix
- Glossary
- Index
Input Data Library for Examples
The
examples in this section use a SAS library that contains information
about the climate of the United States. The DATA steps that
create the data sets in the SAS library are shown in The CLIMATE, PRECIP, and STORM Data Sets.
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