Basic Analysis and Graphing - SAS

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492 Creating Scatterplot Matrices Chapter 20 Example Using a Grouping Variable Create a Grouping Variable If your data does not already have a grouping variable, you can create one using the Cluster platform. Using the Iris.jmp data, assume that the Species column does not exist. You know that the data comes from three species of Iris flowers, so you want to create three clusters within a group. Proceed as follows: 1. Using the Iris.jmp sample data table, select Analyze > Multivariate Methods > Cluster. 2. Select Sepal length, Sepal width, Petal length, and Petal width and click Y, Columns. 3. Click OK. 4. From the red triangle menu, select Number of Clusters. 5. Type 3 to represent the three different Iris species. 6. Click OK. 7. From the red triangle menu, select Save Clusters. 8. Close the Hierarchical Cluster report window, and go back to the Iris.jmp data table. You can see that a Cluster column has been added to the Iris.jmp data table. 9. Perform the Scatterplot Matrix analysis. Follow the instructions in the section “Example Using a Grouping Variable” on page 490, but use Cluster as the grouping variable. Figure 20.9 Example of a Scatterplot Matrix Using a Cluster Variable
Chapter 21 Creating Ternary Plots Using the Ternary Plot Platform The Ternary Plot command in the Graph menu produces a three-axis plot. Ternary plots are a way of displaying the distribution and variability of three-part compositional data. (For example, the proportion of sand, silt, and clay in soil or the proportion of three chemical agents in a trial drug.) You can use data expressed in proportions or use absolute measures. The ternary display is a triangle with sides scaled from 0 to 1. Each side represents one of the three components. A point is plotted so that a line drawn perpendicular from the point to each leg of the triangle intersect at the component values of the point. Figure 21.1 Examples of Ternary Plots
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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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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 442 and 443: 442 Creating Maps Chapter 16 Exampl
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Page 504 and 505: 504 References Becker, R.A. and Cle
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Basic Analysis and Graphing - SAS

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