Basic Analysis and Graphing - SAS

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488 Creating Scatterplot Matrices Chapter 20 The Scatterplot Matrix Window Figure 20.5 Examples of Matrix Formats Lower Triangular Upper Triangular Square The Scatterplot Matrix Window The Scatterplot Matrix window shows an ordered grouping of bivariate graphs. In each graph, you can examine the relationships between each pair of variables. Follow the instructions in “Example of a Scatterplot Matrix” on page 485 to produce the plot shown in Figure 20.6. Note: For information about additional options, see “Scatterplot Matrix Platform Options” on page 489.
Chapter 20 Creating Scatterplot Matrices 489 Scatterplot Matrix Platform Options Figure 20.6 Example of a Scatterplot Matrix Window Replace variables in the plot by dragging and dropping a variable, in one of two ways: swap existing variables by dragging and dropping a variable from one axis to the other axis; or, click on a variable in the Columns panel of the associated data table and drag it onto an axis. This feature is not available for matrices in the Square format. Scatterplot Matrix Platform Options The following table describes the options within the red triangle menu next to Scatterplot Matrix. Show Points Points Jittered Fit Line Density Ellipses Shaded Ellipses Ellipses Coverage Ellipses Transparency Shows or hides the points in the scatterplots. Turns the jittering of the points in the scatterplot on or off. Fits a simple regression line and its mean confidence interval to the scatterplots. Shows or hides the outline of the density ellipses. See “Example Using a Grouping Variable” on page 490. Colors the area within each ellipse. See “Example Using a Grouping Variable” on page 490. Enables you to choose an α-level for the ellipses to cover. Enables you to choose the transparency of the shaded ellipses, where 0 is completely transparent and 1 is completely opaque.
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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 Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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Contents Example of Bivariate Analy
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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Contents Overview of Oneway Analysi
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130 Performing Oneway Analysis Chap
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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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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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Page 504 and 505: 504 References Becker, R.A. and Cle
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Page 518 and 519: 518 Index Horizontal option 268, 32
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Basic Analysis and Graphing - SAS

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