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To write an accomplished program in the DATA step of SAS (R), programmers must understand programming logic and know how to implement and;
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programming tips that use the tools available in Base SAS, including the DATA step, the SAS macro facility, and SQL. Drawing from the authorâs 30;
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external data sets into SAS to construct an analysis data set, generating basic descriptive statistical summaries, producing customized tables;
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A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;
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complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by;
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. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by;
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. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by;
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sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics.;
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Updated extensively for SAS 9, this book includes examples and step-by-step instructions on macro programming. New topics for this second;
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A thorough and self-contained treatment for SAS(r) users preparing for the Base Programming Certification Exam for SAS(r) 9-complete with;
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addresses the new DS2 programming language from SAS, which combines the precise procedural power and control of the Base SAS DATA step language with;
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files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. You will also become;
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information between programming steps more easily, and to make your programming easier to read. Updated for SAS 9.4, this book teaches you the;
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statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software;
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Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system;
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introductory experience with computer programming. The coverage of statistical programming in the second edition includes Getting data into the SAS;
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SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book;
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and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to;
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and data related problems Reinforce your SAS knowledge with more than 150 technically challenging questions Ideal for intermediate to;
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step •extended graphics By adding small amounts of code in key areas, SAS Enterprise Guide users can get more out of the product than the tasks;
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values using several innovative methods, performing an operation on all character or all numeric variables in a SAS data set, and much more! SAS;
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the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has;
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the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has;
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Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together;
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Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web;
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examples are models that show you how to build SAS data sets, use SAS functions for data translation, program more efficiently, relate information;
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readers in applying each method by suggesting a step-by-step approach while providing annotated SAS programs to implement these steps. Those;
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