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Basic Analysis and Graphing - SAS

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490 Creating Scatterplot Matrices Chapter 20<br />

Example Using a Grouping Variable<br />

Nonpar Density<br />

Group By<br />

Script<br />

Shows or hides the nonparametric density, which represents the areas where<br />

the data points are the most dense. The nonparametric density estimation is<br />

helpful when you have a lot of points <strong>and</strong> the density of the points is<br />

difficult to see.<br />

There are two quantile density contours. One contour includes 50% of the<br />

points, <strong>and</strong> the other contour includes 100% of the points.<br />

In the Group By window, you can perform the following actions:<br />

• If you did not select a Group variable in the launch window, you can add<br />

one now.<br />

• If you did select a Group variable in the launch window:<br />

– you can remove the existing Group variable.<br />

– you can replace the Group variable.<br />

See “Example Using a Grouping Variable” on page 490.<br />

This menu contains options that are available to all platforms. They enable<br />

you to redo the analysis or save the JSL comm<strong>and</strong>s for the analysis to a<br />

window or a file. For more information, see Using JMP.<br />

Example Using a Grouping Variable<br />

This example shows you how to create a scatterplot matrix using a grouping variable.<br />

1. Open the Iris.jmp sample data table.<br />

2. Select Graph > Scatterplot Matrix.<br />

3. Select Sepal length, Sepal width, Petal length, <strong>and</strong> Petal width <strong>and</strong> click Y, Columns.<br />

4. Select Species <strong>and</strong> click Group.<br />

5. Click OK.

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