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 Thoroughly updated for SAS 9, Cody's Data Cleaning Techniques Using SAS, Second Edition, addresses tasks that nearly every SAS programmer needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify for your own special data cleaning needs. Each topic is developed through specific examples, and every program and macro is explained in detail.

 In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books. For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured include descriptive statistics, one- and two-sample tests, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and sample size. This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses. This book is part of the SAS Press program.

 The key to ensuring accurate data is having clean data. This book develops and describes data cleaning programs and macros. You can use many of the programs and macros that are provided, as is, or you can modify them for your own special data cleaning tasks. Ron has carefully explained and documented each of the programs and macros, thus providing you with SAS programming instruction on an intermediate-to-advanced level. Written in Ron's signature informal, tutorial style, this book gives anyone who manages data thoroughly documented, step-by-step instructions for the development of data cleaning programs and macros. Book jacket.

 Cody's Collection of Popular SAS Programming Tasks and How to Tackle Them presents often-used programming tasks that readers can either use as presented or modify to fit their own programs, all in one handy volume. Esteemed author and SAS expert Ron Cody covers such topics as character to numeric conversion, automatic detection of numeric errors, combining summary data with detail data, restructuring a data set, grouping values using several innovative methods, performing an operation on all character or all numeric variables in a SAS data set, and much more! SAS users of all levels interested in improving their programming skills will benefit from this easy-to-follow collection of tasks. This book is part of the SAS Press program.

 Fully updated for SAS 9.2, Ron Cody's SAS Functions by Example, Second Edition, is a must-have reference for anyone who programs in Base SAS. With the addition of functions new to SAS 9.2, this comprehensive reference manual now includes more than 200 functions, including new character, date and time, distance, probability, sort, and special functions. This new edition also contains more examples for existing functions and more details concerning optional arguments. Like the first edition, the new edition also includes a list of SAS programs, an alphabetic list of all the functions in the book, and a comprehensive index of functions and tasks. Beginning and experienced SAS users will benefit from this useful reference guide to SAS functions. This book is part of the SAS Press program.

 For quick reference, this book is conveniently organized to cover: Tools an introduction to powerful SAS programming techniques for longitudinal data; Case studies a variety of illuminating examples that use author Ron Cody's techniques; and Macros detailed descriptions of helpful longitudinal data macros.

 Thoroughly updated for SAS 9, this edition addresses tasks that SAS programmers need to do to make sure that data errors are located and corrected. The book demonstrates data cleaning programs and macros that programmers can use as written or modify for their own special data cleaning needs.

 Learn to program SAS by example! If you like learning by example, then Learning SAS by Example: A Programmer's Guide makes it easy to learn SAS programming. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started; DATA Step Processing; Presenting and Summarizing Your Data; and Advanced Topics. Subjects addressed include: Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Learning to use the SAS Output Delivery System Getting started with the SAS macro language Introducing PROC SQL You can test your knowledge and hone your skills by solving the problems at the end of each chapter. (Solutions to odd-numbered problems are located at the back of this book. Solutions to all problems are available to instructors by visiting Ron Cody's author page for details.) This book is intended for beginners and intermediate users. Readers should know how to enter and submit a SAS program from their operating system. This book is part of the SAS Press program.

 SAS Macro Language Magic: Discovering Advanced Techniques pushes the SAS macro language to the limit. It explores how even common tools, when used to their full advantage, can transform into amazing applications. This book assumes a basic knowledge of the SAS macro language and then shows how to apply that knowledge in new and different ways. This book enables you to find a technique that you like and then explore it to discover what works and what the possibilities are. You can experiment, focusing more on the application and less on the syntax, while at the same time visualizing the SAS program you want to generate. Discover and develop powerful programming techniques down the path to demystifying MACROS. All the tricks and secrets are revealed, enabling you to write SAS macros that work like MAGIC. This book is part of the SAS Press program.

 In this guide, the author integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation.

 Develop your own multiple-choice tests, score students, produce student rosters (in print form or Excel), and explore item response theory (IRT). Aimed at nonstatisticians working in education or training, Test Scoring and Analysis Using SAS describes item analysis and test reliability in easy-to-understand terms, and teaches you SAS programming to score tests, perform item analysis, and estimate reliability. Maximizing flexibility, the scoring and analysis programs enable you to analyze tests with multiple versions, define alternate correct responses for selected items, and repeat the scoring with selected items deleted. You will be guided step-by-step on how to design multiple-choice items, use analysis to improve your tests, and even detect cheating on students’ submitted multiple-choice tests. Other subjects addressed include reading in data from a variety of sources (text files and Excel workbooks, for example), detecting errors in the input data, and producing class rosters in printed form or Excel workbooks. Also included is a chapter on IRT—widely used in education to calibrate and evaluate items in tests in education such as the SAT and GRE—with instructions for running the new SAS procedure PROC IRT. This book is part of the SAS Press program.

 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 readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained two-page layout complete with examples and graphics. The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Other changes include expanded coverage of linguistic sorting and a new section on concatenating macro variables with other text. This book is a great tool for users of SAS 9.4 as well. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you'll return to as you continue to improve your programming skills. This book is part of the SAS Press program.

 SAS Applications Programming has been writing in one form or another for most of life. You can find so many inspiration from SAS Applications Programming also informative, and entertaining. Click DOWNLOAD or Read Online button to get full SAS Applications Programming book for free.

 Find errors and clean up data easily using SAS! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify which will make your job of data cleaning easier, faster, and more efficient. Building on both the author’s experience gained from teaching a data cleaning course for over 10 years, and advances in SAS, this third edition includes four new chapters, covering topics such as the use of Perl regular expressions for checking the format of character values (such as zip codes or email addresses) and how to standardize company names and addresses. With this book, you will learn how to: find and correct errors in character and numeric values develop programming techniques related to dates and missing values deal with highly skewed data develop techniques for correcting your data errors use integrity constraints and audit trails to prevent errors from being added to a clean data set

 Kirk Lafler's PROC SQL: Beyond the Basics Using SAS, Second Edition, offers a step-by-step example-driven guide that helps readers master the language of PROC SQL. Packed with analysis and examples illustrating an assortment of PROC SQL options, statements, and clauses, this book can be approached in a number of ways. Users can read it cover-to-cover or selectively by chapter; they can use the extensive index to find content of interest or refer to the helpful "Summary" that precede each chapter to look for help on a specific topic. The second edition explores new and powerful features in SAS 9.3, and includes such topics as adding data to a table with a SET clause; bulk loading data from Microsoft Excel; distinguishing between DATA step merges and PROC SQL joins; rules for designing indexes; cardinality and index selectivity; and demystifying join algorithms. It also features an expanded discussion of CASE expressions, and new sections on complex query applications, and grouping and performance. Delving into the workings of PROC SQL with greater analysis and discussion, PROC SQL: Beyond the Basic Using SAS, Second Edition, examines a broad range of topics and provides greater detail about this powerful database language using discussion and numerous real-world examples. This book is part of the SAS Press program.