Scripting Guide - SAS

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628 JSL Syntax Reference Appendix A Matrix Functions Matrix Functions All(A...) Returns 1 if all arguments are nonzero; 0 otherwise. Any(A...) Returns 1 if one or more elements of the matrix are nonzero; 0 otherwise. CDF(Y) Description Returns values of the empirical cumulative probability distribution function for Y, which can be a vector or a list. Cumulative probability is the proportion of data values less than or equal to the value of QuantVec. Syntax {QuantVec, CumProbVec} = CDF(YVec) Chol Update(L, V, C) Description If L is the Cholesky root of an nxn matrix A, then after calling cholUpdate L is replaced with the Cholesky root of A+V*C*V' where C is an mxm symmetric matrix and V is an n*m matrix. Cholesky(A) Description Finds the lower Cholesky root (L) of a positive semi-definitive matrix, L*L' = A. Returns L (the Cholesky root). Arguments A a symmetric matrix. Correlation(matrix) Description Calculates the correlation matrix of the data in the matrix argument. Returns The correlation matrix for the specified matrix. Argument matrix A matrix that contains the data. If the data has m rows and n columns, the result is an m-by-m matrix.
Appendix A JSL Syntax Reference 629 Matrix Functions Notes Rows are discarded if they contain missing values. This function uses multithreading if available, so it is recommended for large problems with many rows. When a column is constant, the correlations for it are 0, and the diagonal element is also 0. Covariance(matrix) Description Calculates the covariance matrix of the data in the matrix argument. Returns The covariance matrix for the specified matrix. Argument matrix A matrix that contains the data. If the data has m rows and n columns, the result is an m-by-m matrix. Notes Rows are discarded if they contain missing values. This function uses multithreading if available, so it is recommended for large problems with many rows. Design(vector, <
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Version 10 Scripting Guide “The r
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INDIRECT OR CONSEQUENTIAL DAMAGES O
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6 Capturing a Script for a Data Tab
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8 Repeat . . . . . . . . . . . . .
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10 Getting a Data Table Object . .
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12 Build Your Own Displays from Scr
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14 Using the mouse . . . . . . . .
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16 B Discrete Probability Functions
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Chapter 1 Learn about JMP Documenta
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Chapter 1 Learn about JMP 21 Book C
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Chapter 1 Learn about JMP 23 Book C
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Chapter 1 Learn about JMP 25 Additi
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Chapter 1 Learn about JMP 27 Additi
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Chapter 2 Introduction Welcome to t
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Chapter 2 Introduction 31 What JSL
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Chapter 2 Introduction 33 Terminolo
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Chapter 2 Introduction 35 Terminolo
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Chapter 3 Getting Started Let JMP W
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Chapter 3 Getting Started 39 Captur
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Chapter 3 Getting Started 41 Captur
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Chapter 3 Getting Started 43 Gluing
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Chapter 3 Getting Started 45 Gluing
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Chapter 4 Scripting Tools Using the
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Chapter 4 Scripting Tools 49 Using
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Chapter 4 Scripting Tools 55 Workin
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Chapter 4 Scripting Tools 57 Debug
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Chapter 5 JSL Building Blocks Learn
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Chapter 5 JSL Building Blocks 71 JS
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Chapter 5 JSL Building Blocks 73 JS
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Chapter 5 JSL Building Blocks 95 In
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Chapter 5 JSL Building Blocks 97 Na
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Chapter 6 Types of Data Working wit
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Chapter 6 Types of Data 105 Numbers
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Chapter 6 Types of Data 107 Path Va
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Chapter 6 Types of Data 109 Date-Ti
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Chapter 6 Types of Data 119 Currenc
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Chapter 6 Types of Data 121 Hexadec
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Chapter 6 Types of Data 123 Work wi
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Chapter 6 Types of Data 125 Use Pat
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Chapter 6 Types of Data 127 Use Pat
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Chapter 7 Data Structures Working w
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Chapter 7 Data Structures 131 Lists
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Chapter 7 Data Structures 137 Matri
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Chapter 7 Data Structures 169 Assoc
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Chapter 8 Programming Methods Compl
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Chapter 8 Programming Methods 199 A
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Chapter 9 Data Tables Create, Open,
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Chapter 9 Data Tables 235 Data Tabl
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Chapter 9 Data Tables 243 Messages
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Chapter 9 Data Tables 275 Manipulat
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Chapter 9 Data Tables 287 Row State
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Chapter 9 Data Tables 303 Calculati
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Chapter 9 Data Tables 305 Calculati
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Chapter 10 Scripting Platforms Crea
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Chapter 10 Scripting Platforms 309
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Chapter 11 Display Trees Create and
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Chapter 11 Display Trees 331 Manipu
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Chapter 11 Display Trees 343 How to
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Chapter 11 Display Trees 345 Constr
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Chapter 11 Display Trees 373 Modal
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Chapter 11 Display Trees 383 Syntax
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Chapter 12 Scripting Graphs Create
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Chapter 12 Scripting Graphs 393 Add
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Chapter 12 Scripting Graphs 395 Cre
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Chapter 12 Scripting Graphs 405 Dra
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Chapter 12 Scripting Graphs 421 Int
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Chapter 13 Three-Dimensional Scenes
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Chapter 14 Extending JMP External D
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Chapter 14 Extending JMP 469 Real-T
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Chapter 14 Extending JMP 475 Dynami
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Chapter 14 Extending JMP 477 Using
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Chapter 14 Extending JMP 479 Databa
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Chapter 14 Extending JMP 481 Workin
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Chapter 14 Extending JMP 495 OLE Au
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Chapter 15 Creating and Sharing App
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Chapter 16 Common Tasks Getting Sta
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Chapter 16 Common Tasks 533 Convert
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Chapter 16 Common Tasks 535 Format
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Chapter 16 Common Tasks 537 Create
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Chapter 16 Common Tasks 539 Extract
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Index JSL Syntax Reference Symbols
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Index 547 D Data Table 697 Datafeed
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Index 549 Interest Payment 611 Inte
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Index 551 Number 683 Number Col Box
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Index 553 SAS Submit 677 SAS Submit
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Appendix A JSL Syntax Reference Sum
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Appendix A JSL Syntax Reference 557
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Appendix B Messages Summary of Obje
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Appendix B Messages 741 Associative
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Appendix B Messages 743 Data Tables
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Appendix B Messages 761 Datafeed Da
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Appendix B Messages 763 Display Box
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Appendix B Messages 779 Platforms o
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Appendix B Messages 781 R Integrati
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Appendix B Messages 783 SAS Integra
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Appendix B Messages 801 Sockets For
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Appendix B Messages 805 Other Objec
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Appendix C Compatibility Notes Chan
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Appendix C Compatibility Notes 809
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Appendix D Glossary Terms, Concepts
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Appendix D Glossary 813 ODBC databa
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Index JMP Scripting Guide Symbols `
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Index 817 property parameters 284 c
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Index 819 Disable 465 Disk 448 Disp
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Index 821 HLine 405 HList 377, 380
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Index 823 objects 240 platform 310
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Index 825 Point Size 443 POINTS 440
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Index 827 Show Properties 243, 276,
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