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  • Lucas, Rosemary  (1)
  • SAS Institute  (1)
  • Institute of Electrical and Electronics Engineers
  • Cary, N.C. : SAS Pub.  (2)
  • Electronic books ; local  (2)
  • SAS (Computer file)  (1)
  • Business ; Data processing
  • Konferenzschrift
  • 1
    Online Resource
    Online Resource
    Cary, N.C. : SAS Pub.
    ISBN: 9781635266757 , 1635266750
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: JMP (Computer file) ; Mathematical statistics ; Data processing ; Mathematical statistics ; Graphic methods ; Electronic books ; Electronic books ; local
    Abstract: Learn the essentials of the JMP Scripting Language with this beginner's guide. Written in an easy-to-understand style based on the authors' extensive experience, Jump into JMP Scripting, Second Edition teaches beginner scripters how to take advantage of the robust JMP Scripting Language (JSL) using step-by-step instructions and real-world situations. The authors demonstrate how JSL offers the freedom to create scripts from the very simple and specific to the most generic and complex. With a new chapter on JSL language foundations, the first half of the book explains the fundamentals of JSL and walks you through creating your first scripts, such as opening a data table, adding columns, or selecting rows. A new chapter on the Dashboard and Application Builders provides helpful tips on creating custom dashboards and learning how to build applications. Also new to this edition, a chapter on advanced topics introduces more helpful tools and concepts in JSL. After learning the basics, you are ready to tackle specific tasks using JSL. The second half of the book provides more than 50 examples using a unique question-and-answer format. This book is part of the SAS Press program.
    Note: Includes index. - Description based on online resource; title from cover (viewed January 7, 2019)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cary, N.C. : SAS Pub.
    ISBN: 9781612900124 , 1612900127
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Parallel Title: Erscheint auch als
    Keywords: SAS (Computer file) ; Mathematical statistics ; Data processing ; Electronic books ; Electronic books ; local
    Abstract: 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.
    Note: Includes bibliographical references and index. - Description based on print version record
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