Basic Analysis and Graphing - SAS

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114 Performing Bivariate Analysis Chapter 4 Histogram Borders Related Information • “Fitting Menus” on page 115 Histogram Borders The Histogram Borders option appends histograms to the x- and y-axes of the scatterplot. You can use the histograms to visualize the marginal distributions of the X and Y variables. Figure 4.17 Example of Histogram Borders Group By Using the Group By option, you can select a classification (grouping) variable. When a grouping variable is in effect, the Bivariate platform computes a separate analysis for each level of the grouping variable. Regression curves or ellipses then appear on the scatterplot. The fit for each level of the grouping variable is identified beneath the scatterplot, with individual popup menus to save or remove fitting information. The Group By option is checked in the Fitting menu when a grouping variable is in effect. You can change the grouping variable by first selecting the Group By option to remove (uncheck) the existing variable. Then, select the Group By option again and respond to its window as before. You might use the Group By option in these different ways: • An overlay of linear regression lines lets you compare slopes visually. • An overlay of density ellipses can show clusters of points by levels of a grouping variable. Related Information • “Example of Group By Using Density Ellipses” on page 122 • “Example of Group By Using Regression Lines” on page 123
Chapter 4 Performing Bivariate Analysis 115 Fitting Menus Fitting Menus In addition to a report, each fitting command adds a fitting menu to the report window. The following table shows the fitting menus that correspond to each fitting command. Fitting Command Fit Mean Fit Line Fit Polynomial Fit Special Fit Spline Fit Each Value Fit Orthogonal Density Ellipse Nonpar Density Fitting Menu Fit Mean Linear Fit Polynomial Fit Degree=X* Linear Fit Polynomial Fit Degree=X* Transformed Fit X* Constrained Fits Smoothing Spline Fit, lambda=X* Fit Each Value Orthogonal Fit Ratio=X* Bivariate Normal Ellipse P=X* Quantile Density Colors *X=variable character or number Fitting Menu Options The following table describes the options in the Fitting menus. Confid Curves Fit Confid Curves Indiv Line Color Line of Fit Displays or hides the confidence limits for the expected value (mean). This option is not available for the Fit Spline, Density Ellipse, Fit Each Value, and Fit Orthogonal fits and is dimmed on those menus. Displays or hides the confidence limits for an individual predicted value. The confidence limits reflect variation in the error and variation in the parameter estimates. This option is not available for the Fit Mean, Fit Spline, Density Ellipse, Fit Each Value, and Fit Orthogonal fits and is dimmed on those menus. Lets you select from a palette of colors for assigning a color to each fit. Displays or hides the line of fit.
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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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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Example of Contingency Ana
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186 Performing Contingency Analysis
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Contents Overview of Logistic Regre
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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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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Contents Example of a Dynamic Bubbl
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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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514 References Wadsworth, H. M., St
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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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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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