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250 Reshaping Data Chapter 7 Joining Data Tables Example 2: A Cartesian Join When doing a Cartesian join, JMP joins two tables in a Cartesian fashion, where it forms a new table consisting of all possible combinations of the rows from two original tables. This creates cases in the output table so there will be one case for each combination of column values. For example, as Figure 7.32 shows, JMP crosses the data in table a with the data in table b to display all combinations of the values in each set (the table named Cartesian join). Figure 7.32 Joining Tables Using Cartesian Join Original table 1 Original table 2 New table + = For another example, suppose you want to construct a JMP table that has a row for each combination of levels of experimental conditions in the popcorn example. You can begin with the three small tables shown at the top in Figure 7.33: oil amount.jmp, batch.jmp, and popcorn.jmp. Each table has two rows and one column. The values are the experimental categories for popcorn yield trials. In this example, you must use the Tables > Join command twice. The first join combines oil amount.jmp with batch.jmp using the Cartesian option. The join produces the lower left table in Figure 7.33, which has all columns from the two original tables. Each value in oil amount.jmp pairs with each value in batch.jmp, giving a new table with four rows. The second join combines the new table (Cartesian oil amount + batch) with popcorn.jmp and produces the lower right table (all tables joined) in Figure 7.33. This final data table has a row for each experiment condition and is ready for recording results of the corn popping trials. Keep in mind that the number of rows produced by a Cartesian join is the product of the number of rows in the original tables.
Chapter 7 Reshaping Data 251 Joining Data Tables Figure 7.33 Examples of a Cartesian Join 7 Reshaping Data Example 3: Join by Matching Columns When join by matching columns, JMP finds specified column(s) values that exist in both tables and combines all values associated with that value into a new data table. Note that to join by matching columns, the columns must have the same data type (numeric, character, or row state). Joining Tables with the Same Rows in Different Order Suppose you have one data table containing students’ names, ages, and sexes. You have another data table containing their names, height, and weight. Instead of working with two separate tables, you would like to combine the tables into one, as shown in Figure 7.34. Then, you will be prepared to run any appropriate analyses. You realize that the students’ names are not in the same order in both tables; for example, Alice is on row 7 in the first table and row 9 in the second table. Figure 7.34 shows the two original tables and new table you would like to create.
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Release 8 User Guide Second Edition
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Contents JMP User Guide 1 Prelimina
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iii Data Filter Control Panel . . .
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v Editing Data Table Rows using the
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vii Example of Tabulating Data . .
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ix Closing and Saving Sessions . .
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xi C The Analyze Menu . . . . . . .
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xiv Linda Blazek, Michael Friendly,
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Chapter 1 Preliminaries JMP Statist
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Chapter 1 Preliminaries 3 What You
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Chapter 1 Preliminaries 5 Learning
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Chapter 2 Creating and Opening File
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. Chapter 2 Creating and Opening Fi
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Contents Elements of JMP Data Table
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50 Entering, Editing, and Managing
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Contents Saving Data Tables . . . .
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110 Saving Tables, Reports, and Ses
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Contents Assigning Characteristics
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132 Properties and Characteristics
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All analyses produce report windows
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Chapter 6 Output Reports 171 Editin
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Chapter 6 Output Reports 177 Printi
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Chapter 6 Output Reports 179 Saving
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Chapter 6 Output Reports 181 Format
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Chapter 6 Output Reports 183 Format
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Chapter 6 Output Reports 185 Select
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Chapter 6 Output Reports 187 Using
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Chapter 6 Output Reports 195 Alteri
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Chapter 6 Output Reports 197 Alteri
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Page 280 and 281: Contents Summarizing Columns. . . .
Page 282 and 283: 264 Summarizing Data Chapter 8 Summ
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Page 304 and 305: Contents Creating a Formula . . . .
Page 306 and 307: 288 Formula Editor Chapter 9 Refere
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300 Formula Editor Chapter 9 Using
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310 Formula Editor Chapter 9 Orderi
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316 Formula Editor Chapter 9 Editin
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318 Formula Editor Chapter 9 Custom
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320 Formula Editor Chapter 9 Custom
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322 Formula Editor Chapter 9 Exampl
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328 Formula Editor Chapter 9 Glossa
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Contents Changing Startup Preferenc
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332 Personalizing JMP Chapter 10 Ch
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344 Personalizing JMP Chapter 10 Cu
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346 Personalizing JMP Chapter 10 Sp
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348 Personalizing JMP Chapter 10 Ad
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352 Personalizing JMP Chapter 10 Sp
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354 Personalizing JMP Chapter 10 Pe
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366 Personalizing JMP Chapter 10 Me
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374 Personalizing JMP Chapter 10 Sa
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376 Personalizing JMP Chapter 10 Sa
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Contents Connecting to SAS. . . . .
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380 SAS Integration Chapter 11 Conn
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382 SAS Integration Chapter 11 Conn
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384 SAS Integration Chapter 11 Open
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390 SAS Integration Chapter 11 Runn
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392 SAS Integration Chapter 11 Subm
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394 SAS Integration Chapter 11 Retr
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Appendix A JMP Starter A Review of
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Appendix A JMP Starter 399 Overview
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Appendix A JMP Starter 401 The Basi
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Appendix A JMP Starter 403 The Mode
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Appendix A JMP Starter 405 The Mult
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Appendix A JMP Starter 407 The Grap
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Appendix A JMP Starter 409 The Grap
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Appendix A JMP Starter 411 The Meas
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Appendix A JMP Starter 413 The DOE
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Appendix A JMP Starter 415 The Tabl
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Appendix A JMP Starter 417 The SAS
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Contents The JMP Menu (Macintosh On
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422 Main Menu Appendix B The File M
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424 Main Menu Appendix B The Edit M
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426 Main Menu Appendix B The Edit M
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428 Main Menu Appendix B The Rows M
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430 Main Menu Appendix B The Cols M
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432 Main Menu Appendix B The DOE Me
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434 Main Menu Appendix B The Analyz
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440 Main Menu Appendix B The Graph
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442 Main Menu Appendix B The Graph
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444 Main Menu Appendix B The Tools
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446 Main Menu Appendix B The View M
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448 Main Menu Appendix B The Window
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450 Main Menu Appendix B The Help M
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452 Main Menu Appendix B The Layout
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Contents Row Functions . . . . . .
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456 Formula Functions Reference App
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Index JMP User Guide Symbols 468 !
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Index 497 levels in a report 171 re
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Index 499 delete expression 294 del
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Index 501 conditional clauses 302 c
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Index 503 range check 53 red triang
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Index 505 Marker functions 308 Mark
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Index 507 operating characteristic
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Index 509 report tables 183 reports
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Index 511 shapes. See drawing tools
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Index 513 units 160 univariate stat
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