JSL Companion: Applications of the JMP Scripting Language

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SAS Institute, Dec 23, 2011 - Mathematics - 326 pages
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JSL Companion: Applications of the JMP Scripting Language provides novice scripters with a resource that helps them go beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Taking a task-oriented approach rather than focusing on showing the syntax, the authors help users with much more than the basic task of capturing a script. The book starts with an introduction that is suitable for someone who is just beginning to learn JSL. It quickly moves to importing and saving data, working with variables, modifying data tables, and working with JMP data structures (lists, matrices, and associative arrays). Later chapters deal with JMP output, communicating with users, and customizing displays. The last two chapters cover writing flexible code and include several tips that help solve problems with which novice users often struggle. This book is part of the SAS Press program.
 

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Contents

Chapter 2 Reading and Saving Data
39
Chapter 3 Modifying and Combing Data Tables
69
Variables Formats and Expressions
103
Chapter 5 Lists Matrices and Associative Arrays
135
Chapter 6 Reports and Saving Results
159
Chapter 7 Communicating with Users
197
Chapter 8 Custom Displays
231
Chapter 9 Writing Flexible Code
251
Chapter 10 Helpful Tips
283
Index
299
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About the author (2011)

Theresa L. Utlaut is a statistician at Intel Corporation, where she is responsible for providing statistical training, consulting, and support in the development of the next generation microprocessor. A user and teacher of JMP since the late 1990s, she received her B.S. in mathematics from the University of Portland and her M.S. and Ph.D., both in statistics, from Oregon State University. She is a member of the American Statistical Association, the American Society for Quality, and the Mathematical Association of America.

Georgia Z. Morgan is principal engineer for Intel Corporation, where she supports the factory and engineers who design the processes that produce the signature Intel InsideTM computer chips. Her work includes teaching statistics, guidance and support for design and analysis, and process control. Georgia uses a full spectrum of JMP analyses, and since 2000 she has been teaching and supporting JSL in order to enable engineers to automate their tasks/reports. A member of the American Statistical Association, she received a B.A. and an M.S., both in mathematics, from the University of Nebraska at Omaha, and an M.S. in statistics from Montana State University.

Kevin C. Anderson is an industrial statistician with Intel Corporation’s Fab 11x in Rio Rancho, New Mexico. A Lean Six Sigma Black Belt, he specializes in experimental design and analysis, process control, quality consulting, teaching, and the production of information from data, large and small. Anderson has worked in the semiconductor industry for thirty-four years. A SAS and JMP user for more than twenty years, he received a B.S. in chemistry from the University of Tulsa. He is a member of the American Statistical Association.

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