Book description
Get up and running with SAS using Ron Cody’s easytofollow, stepbystep guide.Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short examples to teach SAS programming from the basics to more advanced topics in the pointandclick interactive environment of SAS Studio. To begin, you will learn how to register for SAS OnDemand for Academics, an online delivery platform for teaching and learning statistical analysis that provides free access to SAS software via the cloud.
The first part of the book shows you how to use SAS Studio builtin tasks to produce a report, summarize data, and create charts and graphs. It also describes how you can perform basic statistical tests using the interactive pointandclick environment.
The second part of the book uses easytofollow examples to show you how to write your own SAS programs and how to use SAS procedures to perform a variety of tasks. This part of the book also explains how to read data from a variety of sources: text files, Excel workbooks, and CSV files. In order to get familiar with the SAS Studio environment, this book also shows you how to access dozens of interesting data sets that are included with the SAS OnDemand for Academics platform.
Table of contents
 Contents
 About This Book
 About The Author
 Acknowledgements
 Part I: Getting Acquainted with the SAS Studio Environment
 Chapter 1: Introduction to SAS OnDemand for Academics
 Chapter 2: The SAS Studio Interface
 Chapter 3: Importing Your Own Data
 Chapter 4: Creating Reports
 Chapter 5: Summarizing Data Using SAS Studio
 Chapter 6: Graphing Data
 Part II: Learning How to Write Your Own SAS Programs
 Chapter 7: An Introduction to SAS Programming
 Chapter 8: Reading Data from External Files
 Chapter 9: Reading and Writing SAS Data Sets

Chapter 10: Creating Formats and Labels
 What Is a SAS Format and Why Is It Useful?
 Using SAS Builtin Formats
 More Examples to Demonstrate How to Write Formats
 Describing the Difference between a FORMAT Statement in a Procedure and a FORMAT Statement in a DATA Step
 Making Your Formats Permanent
 Creating Variable Labels
 Conclusion
 Problems
 Chapter 11: Performing Conditional Processing
 Chapter 12: Performing Iterative Processing: Looping

Chapter 13: Working with SAS Dates
 Introduction
 Reading Dates from Text Data
 Creating a SAS Date from Month, Day, and Year Values
 Describing a Date Constant
 Extracting the Day of the Week, Day of the Month, Month, and Year from a SAS Date
 Adding a Format to the Bar Chart
 Computing Age from Date of Birth: The YRDIF Function
 Conclusion
 Problems

Chapter 14: Subsetting and Combining SAS Data Sets
 Introduction
 Subsetting (Filtering) Data in a SAS Data Set
 Describing a WHERE= Data Set Option
 Describing a Subsetting IF Statement
 A More Efficient Way to Subset Data When Reading Raw Data
 Creating Several Data Subsets in One DATA Step
 Combining SAS Data Sets (Combining Rows)
 Adding a Few Observations to a Large Data Set (PROC APPEND)
 Interleaving Data Sets
 Merging Two Data Sets (Adding Columns)
 Controlling Which Observations Are Included in a Merge (IN= Data Set Option)
 Performing a OnetoMany or ManytoOne Merge
 Merging Two Data Sets with Different BY Variable Names
 Merging Two Data Sets with One Character and One Numeric BY Variable
 Updating a Master File from a Transaction File (UPDATE Statement)
 Conclusion
 Problems

Chapter 15: Describing SAS Functions
 Introduction

Describing Some Useful Numeric Functions
 Function Name: MISSING
 Function Name: N
 Function Name: NMISS
 Function Name: SUM
 Function Name: MEAN
 Function Name: MIN
 Function Name: MAX
 Function Name: SMALLEST
 Function Name: LARGEST
 Programming Example Using the N, NMISS, MAX, LARGEST, and MEAN Functions
 Function Name: INPUT
 CALL Routine: CALL SORTN
 Function Name: LAG
 Function Name: DIF

Describing Some Useful Character Functions
 Function Names: LENGTHN and LENGTHC
 Function Names: TRIMN and STRIP
 Function Names: UPCASE, LOWCASE, and PROPCASE (Functions That Change Case)
 Function Name: PUT
 Function Name: SUBSTRN (Newer Version of the SUBSTR Function)
 Function Names: FIND and FINDC
 Function Names: CAT, CATS, and CATX
 Function Names: COUNT and COUNTC
 Function Name: COMPRESS
 Function Name: SCAN
 CALL Routine: CALL MISSING
 Function Names: NOTDIGIT, NOTALPHA, and NOTALNUM
 Function Names: ANYDIGIT, ANYALPHA, and ANYALNUM
 Function Name: TRANWRD
 Conclusion
 Problems
 Chapter 16: Working with Multiple Observations per Subject

Chapter 17: Describing Arrays
 Introduction
 What Is an Array?
 Describing a Character Array
 Performing an Operation on Every Numeric Variable in a Data Set
 Performing an Operation on Every Character Variable in a Data Set
 Converting a Data Set with One Observation per Subject into a Data Set with Multiple Observations per Subject
 Converting a Data Set with Multiple Observations per Subject into a Data Set with One Observation per Subject
 Conclusion
 Problems
 Chapter 18: Displaying Your Data

Chapter 19: Summarizing Data with SAS Procedures
 Introduction
 Using PROC MEANS (with the Default Options)
 Using PROC MEANS Options to Customize the Summary Report
 Computing Statistics for Each Value of a BY Variable
 Using a CLASS Statement Instead of a BY Statement
 Including Multiple CLASS Variables with PROC MEANS
 Statistics Broken Down Every Way
 Using PROC MEANS to Create a Summary Data Set
 Letting PROC MEANS Name the Variables in the Output Data Set
 Creating a Summary Data Set with CLASS Variables
 Using a Formatted CLASS Variable
 Demonstrating PROC UNIVARIATE
 Conclusion
 Problems
 Chapter 20: Computing Frequencies
Product information
 Title: Getting Started with SAS Programming
 Author(s):
 Release date: February 2021
 Publisher(s): SAS Institute
 ISBN: 9781953329189
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