Basic Analysis and Graphing - SAS

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204 Performing Contingency Analysis Chapter 6 Additional Examples of the Contingency Platform • Cheese B is the least liked cheese, with responses of 1,2, and 3. • Cheeses C and A are in the middle, with responses of 4,5,6, and 7. 8. From the red triangle menu next to Correspondence Analysis, select 3D Correspondence Analysis. Figure 6.12 Example of a 3-D Scatterplot From Figure 6.12, notice the following: • Looking at the c1 axis, responses 1 through 5 appear to the right of 0 (positive). Responses 6 through 9 appear to the left of 0 (negative). • Looking at the c2 axis, A and C appear to the right of 0 (positive). B and D appear to the left of 0 (negative). • You can have two conclusions: c1 corresponds to the general satisfaction (from least to most liked). c2 corresponds to a quality that makes B and D different from A and C. Additional Example of Correspondence Analysis This example uses the Mail Messages.jmp sample data table, which contains data about e-mail messages that were sent and received. The data includes the time, sender, and receiver. Examine the pattern of e-mail senders and receivers. 1. Open the Mail Messages.jmp sample data table. 2. Select Analyze > Fit Y by X. 3. Select To and click Y, Response.
Chapter 6 Performing Contingency Analysis 205 Additional Examples of the Contingency Platform 4. Select From and click X, Factor. 5. Click OK. 6. From the red triangle menu next to Contingency Table, deselect everything except Count. Figure 6.13 Contingency Analysis for E-mail Data Looking at the frequency table, you notice the following differences: • Jeff sends messages to everyone but receives messages only from Michael. • Michael and John send many more messages than the others. • Michael sends messages to everyone. • John sends messages to everyone except Jeff. • Katherine and Ann send messages only to Michael and John. Further visualize the results of the contingency table with a correspondence analysis. From the red triangle menu next to Contingency Analysis, select Correspondence Analysis.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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32 Performing Univariate Analysis C
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90 Introduction to the Fit Y by X P
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100 Performing Bivariate Analysis C
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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450 Creating Parallel Plots Chapter
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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474 Creating Tree Maps Chapter 19 A
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486 Creating Scatterplot Matrices C
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Contents Example of a Ternary Plot
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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