Modeling and Multivariate Methods - SAS

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550 Plotting Surfaces Chapter 23 Plot Controls and Settings Contour allows you to turn on or off a contour grid, either above, below, or on the surface. If turned on, the Contour Color option is revealed allowing you to change the color. Limit X and Y to Point Response Column limits the range of the plot to the range of the data in the Point Response Column, if one is activated. If checked, this essentially restricts the plot from extrapolating outside the range of the data in the Point Response Column. The equivalent JSL command for this option is Clip Sheet( Boolean ). You can send this message to a particular response column by appending the number of the response column. For example, Clip Sheet2( 1 ) limits the range of the plot to the range of the data of the second response column. See the Scripting Index in the JMP Help menu for an example. If you are plotting a Isosurface, right-click on the surface and select Surface Properties to reveal a similar dialog. You can modify the surface color, opacity, and toggle a mesh. Other Properties and Commands Right-click anywhere in the plot area to reveal the following options: Show Legend shows a legend when the surface is colored using gradients. Reset resets the plot to the original viewpoint. Changes in wall and background color are not affected. Settings opens a dialog for changing many plot settings. Hide Lights Border shows or hides lighting controls. Wall Color allows you to change the plot wall color. Background Color allows you to change the plot background color. Rows allows you to change row colors or markers, and also exclude, hide, and label points. These options only have affect if points are on the plot. Use Hardware Acceleration provides for faster rendering of the display. For example, if the plot redraws slowly when rotating, this option may help it to redraw faster.
Chapter 23 Plotting Surfaces 551 Keyboard Shortcuts Show ArcBall provides options for using the ArcBall. The ArcBall is a sphere drawn around the plot to help visualize the directions of rotation. Keyboard Shortcuts The following keyboard shortcuts can be used to manipulate the surface plot. To get the plot back to the original viewpoint, right-click on the plot and select Reset. Table 23.1 Surface Plot Keyboard Shortcuts Key left, right, up, and down arrows Home, End Enter (Return) Delete Control Shift Function spin diagonally spin toggles ArcBall appearance roll counterclockwise boost spin speed 10X allows continual spinning
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Version 10 Modeling and Multivariat
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INDIRECT OR CONSEQUENTIAL DAMAGES O
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6 Emphasis Options for Standard Lea
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8 Models with Crossed, Interaction,
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10 8 Analyzing Screening Designs Us
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12 Examining the Residuals . . . .
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14 Response Frequencies . . . . . .
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16 19 Analyzing Principal Component
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18 Interpreting the Profiles . . .
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20 Discriminant Analysis . . . . .
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Contents Book Conventions. . . . .
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Book C
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28 Learn about JMP Chapter 1 Additi
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30 Learn about JMP Chapter 1 Additi
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Contents Launch the Fit Model Platf
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Contents Example Using Standard Lea
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56 Fitting Standard Least Squares M
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Contents Overview of Stepwise Regre
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Contents Example of a Multiple Resp
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158 Fitting Multiple Response Model
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Contents Overview of Generalized Li
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180 Fitting Generalized Linear Mode
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Contents Introduction to Logistic M
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200 Performing Logistic Regression
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Contents Overview of the Screening
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232 Analyzing Screening Designs Cha
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Contents Introduction to the Nonlin
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244 Performing Nonlinear Regression
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Contents Overview of Neural Network
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280 Creating Neural Networks Chapte
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Contents Launching the Platform. .
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296 Modeling Relationships With Gau
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Contents Overview of the Loglinear
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306 Fitting Dispersion Effects with
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Contents Introduction to Partitioni
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318 Recursively Partitioning Data C
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Contents Launch the Platform . . .
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354 Performing Time Series Analysis
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Contents The Categorical Platform .
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386 Performing Categorical Response
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Contents Introduction to Choice Mod
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404 Performing Choice Modeling Chap
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Contents Launch the Multivariate Pl
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444 Correlations and Multivariate T
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Contents Introduction to Clustering
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462 Clustering Data Chapter 18 The
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464 Clustering Data Chapter 18 Hier
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470 Clustering Data Chapter 18 K-Me
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472 Clustering Data Chapter 18 K-Me
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474 Clustering Data Chapter 18 Norm
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476 Clustering Data Chapter 18 Norm
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478 Clustering Data Chapter 18 Self
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480 Clustering Data Chapter 18 Self
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Contents Principal Components. . .
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484 Analyzing Principal Components
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Contents Introduction . . . . . . .
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494 Performing Discriminant Analysi
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600 Visualizing, Optimizing, and Si
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640 References Becker, R.A. and Cle
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642 References Draper, N. and Smith
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644 References Hooper, J. H. and Am
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646 References Matsumoto, M. and Ni
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648 References Rawlings, J.O. (1988
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650 References Umetrics (1995), Mul
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Contents The Response Models . . .
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654 Statistical Details Appendix A
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690 Index Birth Death Subset.jmp 46
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692 Index Ellipses Transparency 451
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694 Index test for curvature 46 Kru
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696 Index Customizing 267 Nonlinear
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698 Index reliability analysis 453-
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700 Index Stable 363 Stable Inverti
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702 Index
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Modeling and Multivariate Methods - SAS

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